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Publisher: Elsevier   (Total: 3185 journals)

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Showing 1 - 200 of 3185 Journals sorted alphabetically
Academic Pediatrics     Hybrid Journal   (Followers: 37, SJR: 1.655, CiteScore: 2)
Academic Radiology     Hybrid Journal   (Followers: 25, SJR: 1.015, CiteScore: 2)
Accident Analysis & Prevention     Partially Free   (Followers: 100, SJR: 1.462, CiteScore: 3)
Accounting Forum     Hybrid Journal   (Followers: 28, SJR: 0.932, CiteScore: 2)
Accounting, Organizations and Society     Hybrid Journal   (Followers: 37, SJR: 1.771, CiteScore: 3)
Achievements in the Life Sciences     Open Access   (Followers: 5)
Acta Anaesthesiologica Taiwanica     Open Access   (Followers: 7)
Acta Astronautica     Hybrid Journal   (Followers: 427, SJR: 0.758, CiteScore: 2)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Biomaterialia     Hybrid Journal   (Followers: 28, SJR: 1.967, CiteScore: 7)
Acta Colombiana de Cuidado Intensivo     Full-text available via subscription   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 3)
Acta Ecologica Sinica     Open Access   (Followers: 10, SJR: 0.18, CiteScore: 1)
Acta Histochemica     Hybrid Journal   (Followers: 3, SJR: 0.661, CiteScore: 2)
Acta Materialia     Hybrid Journal   (Followers: 294, SJR: 3.263, CiteScore: 6)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 6, SJR: 0.504, CiteScore: 1)
Acta Mechanica Solida Sinica     Full-text available via subscription   (Followers: 9, SJR: 0.542, CiteScore: 1)
Acta Oecologica     Hybrid Journal   (Followers: 12, SJR: 0.834, CiteScore: 2)
Acta Otorrinolaringologica (English Edition)     Full-text available via subscription  
Acta Otorrinolaringológica Española     Full-text available via subscription   (Followers: 2, SJR: 0.307, CiteScore: 0)
Acta Pharmaceutica Sinica B     Open Access   (Followers: 1, SJR: 1.793, CiteScore: 6)
Acta Poética     Open Access   (Followers: 4, SJR: 0.101, CiteScore: 0)
Acta Psychologica     Hybrid Journal   (Followers: 27, SJR: 1.331, CiteScore: 2)
Acta Sociológica     Open Access   (Followers: 1)
Acta Tropica     Hybrid Journal   (Followers: 6, SJR: 1.052, CiteScore: 2)
Acta Urológica Portuguesa     Open Access  
Actas Dermo-Sifiliograficas     Full-text available via subscription   (Followers: 3, SJR: 0.374, CiteScore: 1)
Actas Dermo-Sifiliográficas (English Edition)     Full-text available via subscription   (Followers: 2)
Actas Urológicas Españolas     Full-text available via subscription   (Followers: 3, SJR: 0.344, CiteScore: 1)
Actas Urológicas Españolas (English Edition)     Full-text available via subscription   (Followers: 1)
Actualites Pharmaceutiques     Full-text available via subscription   (Followers: 7, SJR: 0.19, CiteScore: 0)
Actualites Pharmaceutiques Hospitalieres     Full-text available via subscription   (Followers: 3)
Acupuncture and Related Therapies     Hybrid Journal   (Followers: 8)
Acute Pain     Full-text available via subscription   (Followers: 15, SJR: 2.671, CiteScore: 5)
Ad Hoc Networks     Hybrid Journal   (Followers: 11, SJR: 0.53, CiteScore: 4)
Addictive Behaviors     Hybrid Journal   (Followers: 17, SJR: 1.29, CiteScore: 3)
Addictive Behaviors Reports     Open Access   (Followers: 9, SJR: 0.755, CiteScore: 2)
Additive Manufacturing     Hybrid Journal   (Followers: 11, SJR: 2.611, CiteScore: 8)
Additives for Polymers     Full-text available via subscription   (Followers: 23)
Advanced Drug Delivery Reviews     Hybrid Journal   (Followers: 180, SJR: 4.09, CiteScore: 13)
Advanced Engineering Informatics     Hybrid Journal   (Followers: 12, SJR: 1.167, CiteScore: 4)
Advanced Powder Technology     Hybrid Journal   (Followers: 17, SJR: 0.694, CiteScore: 3)
Advances in Accounting     Hybrid Journal   (Followers: 9, SJR: 0.277, CiteScore: 1)
Advances in Agronomy     Full-text available via subscription   (Followers: 16, SJR: 2.384, CiteScore: 5)
Advances in Anesthesia     Full-text available via subscription   (Followers: 28, SJR: 0.126, CiteScore: 0)
Advances in Antiviral Drug Design     Full-text available via subscription   (Followers: 2)
Advances in Applied Mathematics     Full-text available via subscription   (Followers: 11, SJR: 0.992, CiteScore: 1)
Advances in Applied Mechanics     Full-text available via subscription   (Followers: 11, SJR: 1.551, CiteScore: 4)
Advances in Applied Microbiology     Full-text available via subscription   (Followers: 24, SJR: 2.089, CiteScore: 5)
Advances In Atomic, Molecular, and Optical Physics     Full-text available via subscription   (Followers: 15, SJR: 0.572, CiteScore: 2)
Advances in Biological Regulation     Hybrid Journal   (Followers: 4, SJR: 2.61, CiteScore: 7)
Advances in Botanical Research     Full-text available via subscription   (Followers: 2, SJR: 0.686, CiteScore: 2)
Advances in Cancer Research     Full-text available via subscription   (Followers: 32, SJR: 3.043, CiteScore: 6)
Advances in Carbohydrate Chemistry and Biochemistry     Full-text available via subscription   (Followers: 9, SJR: 1.453, CiteScore: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5, SJR: 1.992, CiteScore: 5)
Advances in Cell Aging and Gerontology     Full-text available via subscription   (Followers: 5)
Advances in Cellular and Molecular Biology of Membranes and Organelles     Full-text available via subscription   (Followers: 14)
Advances in Chemical Engineering     Full-text available via subscription   (Followers: 28, SJR: 0.156, CiteScore: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 10, SJR: 0.713, CiteScore: 1)
Advances in Chronic Kidney Disease     Full-text available via subscription   (Followers: 10, SJR: 1.316, CiteScore: 2)
Advances in Clinical Chemistry     Full-text available via subscription   (Followers: 26, SJR: 1.562, CiteScore: 3)
Advances in Colloid and Interface Science     Full-text available via subscription   (Followers: 20, SJR: 1.977, CiteScore: 8)
Advances in Computers     Full-text available via subscription   (Followers: 14, SJR: 0.205, CiteScore: 1)
Advances in Dermatology     Full-text available via subscription   (Followers: 15)
Advances in Developmental Biology     Full-text available via subscription   (Followers: 13)
Advances in Digestive Medicine     Open Access   (Followers: 11)
Advances in DNA Sequence-Specific Agents     Full-text available via subscription   (Followers: 7)
Advances in Drug Research     Full-text available via subscription   (Followers: 26)
Advances in Ecological Research     Full-text available via subscription   (Followers: 43, SJR: 2.524, CiteScore: 4)
Advances in Engineering Software     Hybrid Journal   (Followers: 29, SJR: 1.159, CiteScore: 4)
Advances in Experimental Biology     Full-text available via subscription   (Followers: 8)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 49, SJR: 5.39, CiteScore: 8)
Advances in Exploration Geophysics     Full-text available via subscription   (Followers: 1)
Advances in Fluorine Science     Full-text available via subscription   (Followers: 9)
Advances in Food and Nutrition Research     Full-text available via subscription   (Followers: 62, SJR: 0.591, CiteScore: 2)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 17)
Advances in Genetics     Full-text available via subscription   (Followers: 20, SJR: 1.354, CiteScore: 4)
Advances in Genome Biology     Full-text available via subscription   (Followers: 10, SJR: 12.74, CiteScore: 13)
Advances in Geophysics     Full-text available via subscription   (Followers: 6, SJR: 1.193, CiteScore: 3)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 24, SJR: 0.368, CiteScore: 1)
Advances in Heterocyclic Chemistry     Full-text available via subscription   (Followers: 12, SJR: 0.749, CiteScore: 3)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 23)
Advances in Imaging and Electron Physics     Full-text available via subscription   (Followers: 3, SJR: 0.193, CiteScore: 0)
Advances in Immunology     Full-text available via subscription   (Followers: 36, SJR: 4.433, CiteScore: 6)
Advances in Inorganic Chemistry     Full-text available via subscription   (Followers: 10, SJR: 1.163, CiteScore: 2)
Advances in Insect Physiology     Full-text available via subscription   (Followers: 2, SJR: 1.938, CiteScore: 3)
Advances in Integrative Medicine     Hybrid Journal   (Followers: 6, SJR: 0.176, CiteScore: 0)
Advances in Intl. Accounting     Full-text available via subscription   (Followers: 3)
Advances in Life Course Research     Hybrid Journal   (Followers: 8, SJR: 0.682, CiteScore: 2)
Advances in Lipobiology     Full-text available via subscription   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 8)
Advances in Marine Biology     Full-text available via subscription   (Followers: 19, SJR: 0.88, CiteScore: 2)
Advances in Mathematics     Full-text available via subscription   (Followers: 12, SJR: 3.027, CiteScore: 2)
Advances in Medical Sciences     Hybrid Journal   (Followers: 7, SJR: 0.694, CiteScore: 2)
Advances in Medicinal Chemistry     Full-text available via subscription   (Followers: 5)
Advances in Microbial Physiology     Full-text available via subscription   (Followers: 4, SJR: 1.158, CiteScore: 3)
Advances in Molecular and Cell Biology     Full-text available via subscription   (Followers: 23)
Advances in Molecular and Cellular Endocrinology     Full-text available via subscription   (Followers: 8)
Advances in Molecular Toxicology     Full-text available via subscription   (Followers: 7, SJR: 0.182, CiteScore: 0)
Advances in Nanoporous Materials     Full-text available via subscription   (Followers: 4)
Advances in Oncobiology     Full-text available via subscription   (Followers: 2)
Advances in Organ Biology     Full-text available via subscription   (Followers: 2)
Advances in Organometallic Chemistry     Full-text available via subscription   (Followers: 17, SJR: 1.875, CiteScore: 4)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7, SJR: 0.174, CiteScore: 0)
Advances in Parasitology     Full-text available via subscription   (Followers: 5, SJR: 1.579, CiteScore: 4)
Advances in Pediatrics     Full-text available via subscription   (Followers: 25, SJR: 0.461, CiteScore: 1)
Advances in Pharmaceutical Sciences     Full-text available via subscription   (Followers: 17)
Advances in Pharmacology     Full-text available via subscription   (Followers: 16, SJR: 1.536, CiteScore: 3)
Advances in Physical Organic Chemistry     Full-text available via subscription   (Followers: 8, SJR: 0.574, CiteScore: 1)
Advances in Phytomedicine     Full-text available via subscription  
Advances in Planar Lipid Bilayers and Liposomes     Full-text available via subscription   (Followers: 3, SJR: 0.109, CiteScore: 1)
Advances in Plant Biochemistry and Molecular Biology     Full-text available via subscription   (Followers: 10)
Advances in Plant Pathology     Full-text available via subscription   (Followers: 5)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Protein Chemistry     Full-text available via subscription   (Followers: 19)
Advances in Protein Chemistry and Structural Biology     Full-text available via subscription   (Followers: 20, SJR: 0.791, CiteScore: 2)
Advances in Psychology     Full-text available via subscription   (Followers: 66)
Advances in Quantum Chemistry     Full-text available via subscription   (Followers: 6, SJR: 0.371, CiteScore: 1)
Advances in Radiation Oncology     Open Access   (Followers: 1, SJR: 0.263, CiteScore: 1)
Advances in Small Animal Medicine and Surgery     Hybrid Journal   (Followers: 3, SJR: 0.101, CiteScore: 0)
Advances in Space Biology and Medicine     Full-text available via subscription   (Followers: 6)
Advances in Space Research     Full-text available via subscription   (Followers: 414, SJR: 0.569, CiteScore: 2)
Advances in Structural Biology     Full-text available via subscription   (Followers: 5)
Advances in Surgery     Full-text available via subscription   (Followers: 13, SJR: 0.555, CiteScore: 2)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 36, SJR: 2.208, CiteScore: 4)
Advances in Veterinary Medicine     Full-text available via subscription   (Followers: 20)
Advances in Veterinary Science and Comparative Medicine     Full-text available via subscription   (Followers: 15)
Advances in Virus Research     Full-text available via subscription   (Followers: 5, SJR: 2.262, CiteScore: 5)
Advances in Water Resources     Hybrid Journal   (Followers: 51, SJR: 1.551, CiteScore: 3)
Aeolian Research     Hybrid Journal   (Followers: 6, SJR: 1.117, CiteScore: 3)
Aerospace Science and Technology     Hybrid Journal   (Followers: 365, SJR: 0.796, CiteScore: 3)
AEU - Intl. J. of Electronics and Communications     Hybrid Journal   (Followers: 8, SJR: 0.42, CiteScore: 2)
African J. of Emergency Medicine     Open Access   (Followers: 6, SJR: 0.296, CiteScore: 0)
Ageing Research Reviews     Hybrid Journal   (Followers: 11, SJR: 3.671, CiteScore: 9)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 469, SJR: 1.238, CiteScore: 3)
Agri Gene     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 17, SJR: 1.818, CiteScore: 5)
Agricultural Systems     Hybrid Journal   (Followers: 31, SJR: 1.156, CiteScore: 4)
Agricultural Water Management     Hybrid Journal   (Followers: 44, SJR: 1.272, CiteScore: 3)
Agriculture and Agricultural Science Procedia     Open Access   (Followers: 4)
Agriculture and Natural Resources     Open Access   (Followers: 3)
Agriculture, Ecosystems & Environment     Hybrid Journal   (Followers: 58, SJR: 1.747, CiteScore: 4)
Ain Shams Engineering J.     Open Access   (Followers: 5, SJR: 0.589, CiteScore: 3)
Air Medical J.     Hybrid Journal   (Followers: 6, SJR: 0.26, CiteScore: 0)
AKCE Intl. J. of Graphs and Combinatorics     Open Access   (SJR: 0.19, CiteScore: 0)
Alcohol     Hybrid Journal   (Followers: 12, SJR: 1.153, CiteScore: 3)
Alcoholism and Drug Addiction     Open Access   (Followers: 11)
Alergologia Polska : Polish J. of Allergology     Full-text available via subscription   (Followers: 1)
Alexandria Engineering J.     Open Access   (Followers: 2, SJR: 0.604, CiteScore: 3)
Alexandria J. of Medicine     Open Access   (Followers: 1, SJR: 0.191, CiteScore: 1)
Algal Research     Partially Free   (Followers: 11, SJR: 1.142, CiteScore: 4)
Alkaloids: Chemical and Biological Perspectives     Full-text available via subscription   (Followers: 2)
Allergologia et Immunopathologia     Full-text available via subscription   (Followers: 1, SJR: 0.504, CiteScore: 1)
Allergology Intl.     Open Access   (Followers: 5, SJR: 1.148, CiteScore: 2)
Alpha Omegan     Full-text available via subscription   (SJR: 3.521, CiteScore: 6)
ALTER - European J. of Disability Research / Revue Européenne de Recherche sur le Handicap     Full-text available via subscription   (Followers: 10, SJR: 0.201, CiteScore: 1)
Alzheimer's & Dementia     Hybrid Journal   (Followers: 52, SJR: 4.66, CiteScore: 10)
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring     Open Access   (Followers: 4, SJR: 1.796, CiteScore: 4)
Alzheimer's & Dementia: Translational Research & Clinical Interventions     Open Access   (Followers: 4, SJR: 1.108, CiteScore: 3)
Ambulatory Pediatrics     Hybrid Journal   (Followers: 6)
American Heart J.     Hybrid Journal   (Followers: 57, SJR: 3.267, CiteScore: 4)
American J. of Cardiology     Hybrid Journal   (Followers: 62, SJR: 1.93, CiteScore: 3)
American J. of Emergency Medicine     Hybrid Journal   (Followers: 45, SJR: 0.604, CiteScore: 1)
American J. of Geriatric Pharmacotherapy     Full-text available via subscription   (Followers: 11)
American J. of Geriatric Psychiatry     Hybrid Journal   (Followers: 13, SJR: 1.524, CiteScore: 3)
American J. of Human Genetics     Hybrid Journal   (Followers: 34, SJR: 7.45, CiteScore: 8)
American J. of Infection Control     Hybrid Journal   (Followers: 29, SJR: 1.062, CiteScore: 2)
American J. of Kidney Diseases     Hybrid Journal   (Followers: 35, SJR: 2.973, CiteScore: 4)
American J. of Medicine     Hybrid Journal   (Followers: 49)
American J. of Medicine Supplements     Full-text available via subscription   (Followers: 3, SJR: 1.967, CiteScore: 2)
American J. of Obstetrics and Gynecology     Hybrid Journal   (Followers: 234, SJR: 2.7, CiteScore: 4)
American J. of Ophthalmology     Hybrid Journal   (Followers: 66, SJR: 3.184, CiteScore: 4)
American J. of Ophthalmology Case Reports     Open Access   (Followers: 5, SJR: 0.265, CiteScore: 0)
American J. of Orthodontics and Dentofacial Orthopedics     Full-text available via subscription   (Followers: 6, SJR: 1.289, CiteScore: 1)
American J. of Otolaryngology     Hybrid Journal   (Followers: 25, SJR: 0.59, CiteScore: 1)
American J. of Pathology     Hybrid Journal   (Followers: 30, SJR: 2.139, CiteScore: 4)
American J. of Preventive Medicine     Hybrid Journal   (Followers: 28, SJR: 2.164, CiteScore: 4)
American J. of Surgery     Hybrid Journal   (Followers: 39, SJR: 1.141, CiteScore: 2)
American J. of the Medical Sciences     Hybrid Journal   (Followers: 12, SJR: 0.767, CiteScore: 1)
Ampersand : An Intl. J. of General and Applied Linguistics     Open Access   (Followers: 7)
Anaerobe     Hybrid Journal   (Followers: 4, SJR: 1.144, CiteScore: 3)
Anaesthesia & Intensive Care Medicine     Full-text available via subscription   (Followers: 63, SJR: 0.138, CiteScore: 0)
Anaesthesia Critical Care & Pain Medicine     Full-text available via subscription   (Followers: 20, SJR: 0.411, CiteScore: 1)
Anales de Cirugia Vascular     Full-text available via subscription   (Followers: 1)
Anales de Pediatría     Full-text available via subscription   (Followers: 3, SJR: 0.277, CiteScore: 0)
Anales de Pediatría (English Edition)     Full-text available via subscription  
Anales de Pediatría Continuada     Full-text available via subscription  
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 5, SJR: 4.849, CiteScore: 10)
Analytica Chimica Acta     Hybrid Journal   (Followers: 44, SJR: 1.512, CiteScore: 5)
Analytica Chimica Acta : X     Open Access  
Analytical Biochemistry     Hybrid Journal   (Followers: 201, SJR: 0.633, CiteScore: 2)
Analytical Chemistry Research     Open Access   (Followers: 12, SJR: 0.411, CiteScore: 2)
Analytical Spectroscopy Library     Full-text available via subscription   (Followers: 14)
Anesthésie & Réanimation     Full-text available via subscription   (Followers: 2)
Anesthesiology Clinics     Full-text available via subscription   (Followers: 24, SJR: 0.683, CiteScore: 2)
Angiología     Full-text available via subscription   (SJR: 0.121, CiteScore: 0)
Angiologia e Cirurgia Vascular     Open Access   (Followers: 1, SJR: 0.111, CiteScore: 0)
Animal Behaviour     Hybrid Journal   (Followers: 207, SJR: 1.58, CiteScore: 3)
Animal Feed Science and Technology     Hybrid Journal   (Followers: 6, SJR: 0.937, CiteScore: 2)
Animal Reproduction Science     Hybrid Journal   (Followers: 7, SJR: 0.704, CiteScore: 2)

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Similar Journals
Journal Cover
Ad Hoc Networks
Journal Prestige (SJR): 0.53
Citation Impact (citeScore): 4
Number of Followers: 11  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1570-8705
Published by Elsevier Homepage  [3185 journals]
  • Evaluation of a Proposed Minimum Path Impotence Routing Policy in Wireless
           Sensor Networks
    • Abstract: Publication date: Available online 14 June 2019Source: Ad Hoc NetworksAuthor(s): Apostolos Demertzis, Konstantinos Oikonomou, Ioannis Stavrakakis Routing in wireless sensor networks is a challenging task due to the energy hole problem, which negatively affects the network’s operation. Taking into account path impotence, i.e., a metric based on the transmission distance and the energy left at the nodes’ batteries, an adjustable routing policy is proposed here that allows nodes to choose different parent nodes for forwarding their data packets toward the sink node. A major difference from the conventional approaches is that path impotence is determined by the most impotent node, instead of adding up the metric along the path. Due to this difference, the proposed policy propagates path impotence values throughout the network efficiently, with reduced extra control messages (e.g., no need to continuously reconstruct routing trees). The number of messages sent by the particular policy (i.e., overhead) is analytically investigated here and, in addition, it is analytically shown that no deadlocks are possible. Simulation results are used for evaluating the proposed policy against other eight similar policies that appear in the literature. It is demonstrated that when the introduced overhead is taken into account (e.g., energy is consumed when transmitting messages similarly to data packet transmissions), the proposed policy outperforms the other policies under certain conditions, related to the size of the message compared to the size of data packets.
  • Interoperability Network Model for Traffic Forecast and Full Electric
           Vehicles power supply management within the Smart City
    • Abstract: Publication date: Available online 14 June 2019Source: Ad Hoc NetworksAuthor(s): Victor Fernández Pallarés, Juan Carlos Guerri Cebollada, Alicia Roca MartínezABSTRACTInformation technologies and applied mathematics provide us with a comprehensive framework to search for solutions to problems derived from traffic management. It is relevant for the mobility in our future cities to integrate the Full Electric Vehicle (FEV) in an interoperability network which allows us to track the FEV autonomy and to forecast the traffic and the power supply demand in the city. The target is to optimize the energy consumption and to improve the mobility in the city. To achieve these goals we propose an infrastructure to efficiently manage the power supply availability in the network of charge stations in the city and an adaptive model to predict the traffic based on historic data and on time series obtained mathematically.
  • An adaptive energy aware strategy based on game theory to add privacy in
           the physical layer for cognitive WSNs
    • Abstract: Publication date: September 2019Source: Ad Hoc Networks, Volume 92Author(s): Elena Romero, Javier Blesa, Alvaro Araujo The expansion of big data and the evolution of Internet of Things (IoT) technologies will play an important role in the feasibility of Smart City initiatives. In this IoT network infrastructure Cognitive Wireless Sensor Networks (WSNs), as a network of nodes that work in a cooperative way to sense the spectrum and control the environment surrounding them, are one of the main technologies. Security and privacy appear as key aspects for the development of new applications and services. In this work we propose a novel artificial noise generation strategy based on game theory in order to improve the security against privacy attacks in CWSNs. Artificial noise generation consists in introducing interferences in the spectrum in order to mask the real information. The decision whether or not to introduce artificial noise is modeled through a light non-cooperative game designed for low-resources networks that balance security enhancement and energy consumption. We show, using several simulations, that even with a cognitive attacker our strategy has reduced the information obtained by the attacker (Secrecy Outage Probability) to a value under 10%. The overhead (energy consumption and spectrum occupancy) of the strategy has also been deeply analyzed. All possible cases our approach provides better results, in the ratio energy consumption - security, than not using the strategy or using a random noise generation strategy. Also, although the saturation of the radio spectrum is strongly affected, the reliability of the network is maintained in 95% of application packages received. Therefore, we can conclude that an improvement of the privacy in the physical layer is obtained, taking into account energy consumption and maintaining levels of spectrum saturation suitable for the application proposes.
  • Energy efficient cross-layer approach for object security of CoAP for IoT
    • Abstract: Publication date: September 2019Source: Ad Hoc Networks, Volume 92Author(s): Rizwan Hamid Randhawa, Abdul Hameed, Adnan Noor Mian CoAP is an application layer protocol designed for resource-constrained devices in Internet-of-Things (IoT). Object Security of CoAP (OSCoAP) is an IETF draft for addressing security issues with CoAP messages that can arise with the use of intermediate proxies. These proxies are employed for better performance, scalability and offloading expensive operations. OSCoAP adopts the counter with cipher block chaining message authentication code (CCM) mode of authenticated encryption with associated data (AEAD) that simultaneously ensures confidentiality, integrity, and authentication of the messages. The current implementation of CCM for OSCoAP is carried out in software. In this paper, we propose a cross-layer approach towards exploiting the CCM for OSCoAP using mac-layer security suite in IoT devices. The motivation is based on the fact that most of these devices are equipped with 802.15.4 radio chips. The IEEE 802.15.4 standard mandates the availability of some security features for mac-layer encryption in these radio chips including the CCM. We propose an algorithm that takes advantage of these on-board features by efficiently implementing the CCM operations for OSCoAP. The results show that our implementation of CCM is memory efficient, save up to 10 times more energy, improves battery life by 30% and is 37% faster than state of the art software implementation of CCM for OSCoAP.
  • Efficient certificate revocation management schemes for IoT-based advanced
           metering infrastructures in smart cities
    • Abstract: Publication date: September 2019Source: Ad Hoc Networks, Volume 92Author(s): Mumin Cebe, Kemal Akkaya Advanced Metering Infrastructure (AMI), which refers to the communication network for the collection of power data from smart meters in a Smart Grid, is expected to be used in the service of many Smart City applications such as gas and water data collection or electric vehicle charging. As the communication within the AMI needs to be secure to protect user’s power data, key management becomes a challenge due to its overhead and limited resources on smart meters. While using public-keys eliminate some of the overhead of key management as opposed to symmetric-key management, there are still challenges regarding the management of certificates that store and certify the public-keys. In particular, distribution and storage of certificate revocation list (CRL) is major a challenge due to cost of distribution and storage in AMI networks which is envisioned to utilize wireless mesh networks. Motivated by the need of keeping the CRL distribution and storage cost effective and scalable, in this paper, we present a distributed CRL management scheme by utilizing distributed hash trees (DHTs) that have been heavily employed in peer-to-peer (P2P) networks. The basic idea is to share the burden of storage of CRLs among all the smart meters by exploiting the convenient wireless communication capability of the smart meters among each other. Using DHTs not only reduces the space requirements for CRLs but also makes the CRL updates more convenient. We implemented DHT-based CRL structure both on ns-3 and testbed using IEEE 802.11s mesh standard as a model for AMI and demonstrated its superior performance with respect to traditional methods of CRL management through extensive simulations.
  • Efficient DCT-based secret key generation for the Internet of Things
    • Abstract: Publication date: September 2019Source: Ad Hoc Networks, Volume 92Author(s): George Margelis, Xenofon Fafoutis, George Oikonomou, Robert Piechocki, Theo Tryfonas, Paul Thomas Cryptography is one of the most widely employed means to ensure confidentiality in the Internet of Things (IoT). Establishing cryptographically secure links between IoT devices requires the prior consensus to a secret encryption key. Yet, IoT devices are resource-constrained and cannot employ traditional key distribution schemes. As a result, there is a growing interest in generating secret random keys locally, using the shared randomness of the communicating channel. This article presents a secret key generation scheme, named SKYGlow, which is targeted at resource-constrained IoT platforms and tested on devices that employ IEEE 802.15.4 radios. We first examine the practical upper bounds of the number of secret bits that can be extracted from a message exchange. We contrast these upper bounds with the current state-of-the-art, and elaborate on the workings of the proposed scheme. SKYGlow applies the Discrete Cosine Transform (DCT) on channel observations of exchanged messages to reduce mismatches and increase correlation between the generated secret bits. We validate the performance of SKYGlow in both indoor and outdoor scenarios, at 2.4 GHz and 868 MHz respectively. The results suggest that SKYGlow can create secret 128-bit keys of 0.9978 bits entropy with just 65 packet exchanges, outperforming the state-of-the-art in terms of energy efficiency.
  • A secure and robust scheme for sharing confidential information in IoT
    • Abstract: Publication date: September 2019Source: Ad Hoc Networks, Volume 92Author(s): Lake Bu, Mihailo Isakov, Michel A. Kinsy In Internet of Things (IoT) systems with security demands, there is often a need to distribute sensitive information (such as encryption keys, digital signatures, or login credentials etc.) to the devices, so that it can be retrieved for confidential purposes at a later moment. However, this piece of information cannot be entrusted to any individual device, since the malfunction of one device will jeopardize the security of the entire network. Even if the information is split among the devices, there is still a danger when attackers compromise a group of them. Therefore we have designed and implemented a secure and robust scheme to facilitate the sharing of sensitive information in IoT networks. This solution provides two important features: 1) This scheme uses Threshold Secret Sharing (TSS) to split the information into shares to be kept by all devices in the system. And so the information can only be retrieved collaboratively by groups of devices. 2) This scheme ensures the privacy and integrity of that piece of information even when there is a large amount of sophisticated and collusive attackers who can hijack the devices. It is able to identify all the compromised devices, while still keeping the secret unknown and unforgeable to attackers.
  • Apparatus: A framework for security analysis in internet of things systems
    • Abstract: Publication date: September 2019Source: Ad Hoc Networks, Volume 92Author(s): Orestis Mavropoulos, Haralambos Mouratidis, Andrew Fish, Emmanouil Panaousis Internet of Things (IoT) systems are ubiquitous, highly complex and dynamic event-based systems. These characteristics make their security analysis challenging. Security in IoT requires domain-specific methodologies and tools. The proposed methodologies need to be able to capture information from software and hardware constructs to security and social constructs. In this paper, in addition to refining the modeling language of the Apparatus Framework, we propose a class-based notation of the modeling language and a structured approach to transition between different models. Apparatus is a security framework developed to facilitate security analysis in IoT systems. We demonstrate the application of the framework by analyzing the security of smart public transport system. The security analysis and visualization of the system are facilitated by a software application that is developed as part of the Apparatus Framework.
  • General and mixed linear regressions to estimate inter-contact times and
           contact duration in Opportunistic Networks
    • Abstract: Publication date: Available online 13 June 2019Source: Ad Hoc NetworksAuthor(s): Carlos Borrego, Enrique Hernández-Orallo, Naercio Magaia In the context of Opportunistic Networking (OppNet), routing and delivery algorithms used for content dissemination employ different metrics to perform accurate decisions. It has been shown that of these metrics, the inter-contact time and the contact duration are very useful for characterising OppNet scenarios. In this article, we show that the exponential moving averages of the historical values of these metrics are correlated with future observed values, in addition to also being good estimators for them. Moreover, we go a step further to investigate how to locally, from the OppNet node perspective, improve the estimations for these metrics by defining two novel estimation functions. These estimation functions are based on two different linear models: a general regression model and a mixed regression model, where future values of the studied metrics are explained in terms of their corresponding exponential moving averages. Experimentation using real mobility traces from well-known OppNet scenarios show that our estimation functions greatly reduce the estimation error of the future values of both metrics when compared to representative state of the art proposals.
  • Dependability-based Clustering in Mobile Ad-Hoc Networks
    • Abstract: Publication date: Available online 13 June 2019Source: Ad Hoc NetworksAuthor(s): Doǧanalp Ergenç, Levent Eksert, Ertan Onur Clustering is an effective solution to handle challenges due to lack of centralized controllers and infrastructure in ad-hoc networks. Clustered network topologies offer better scalability and reliability when compared with flat topologies. In this paper, a novel clustering algorithm, Dependability-based Clustering Algorithm (DCA) is presented. In DCA, we focus on the dependability of clusters themselves rather than considering only individual nodes to maintain the clustered structure of a network. We validated the performance of our proposal by discrete-event simulations and showed that our approach outperforms its opponents in terms of stability, energy efficiency and quality of service in stationary and mobile scenarios. Moreover, we performed sensitivity analysis of different metrics that are used to select cluster heads and compute the cluster dependability score proposing a complete optimization framework to analyze such metrics for weighted clustering algorithms. As a result of the analysis, we found that while topology-related metrics have negative impact, in many cases, energy-related metrics (e.g., residual energy) have varying effects on different objectives.
  • On the Performance of Social-based and Location-aware Forwarding
           Strategies in Urban Vehicular Networks
    • Abstract: Publication date: Available online 13 June 2019Source: Ad Hoc NetworksAuthor(s): Rui Oliveira, Miguel Luís, Susana Sargento High vehicular mobility in urban scenarios originates inter-vehicles communication discontinuities, a highly important factor when designing a forwarding strategy for vehicular networks. Store, carry and forward mechanisms enable the usage of vehicular networks in a large set of applications, such as sensor data collection in IoT, contributing to smart city platforms. This work evaluates the performance of several location-based and social-aware forwarding schemes through emulations and in a real scenario. Gateway Location Awareness (GLA), a location-aware ranking classification, makes use of velocity, heading angle and distance to the gateway, to select the vehicles with higher chance to deliver the information in a shorter period of time, thus differentiating nodes through their movement patterns. Aging Social-Aware Ranking (ASAR) exploits the social behavior of each vehicle, where nodes are ranked based on a historical contact table, differentiating vehicles with a high number of contacts from those who barely contact with other vehicles. To merge both location and social aforementioned algorithms, a HYBRID approach emerges, thus generating a more intelligent mechanism. For each strategy, we evaluate the influence of several parameters in the network performance, as well as we comparatively evaluate the strategies in different scenarios. Experiment results, obtained both in emulated (with real traces of both mobility and vehicular connectivity from a real city-scale urban vehicular network) and real scenarios, show the performance of GLA, ASAR and HYBRID schemes, and their results are compared to lower- and upper-bounds. The obtained results show that these strategies are a good tradeoff to maximize data delivery ratio and minimize network overhead, while making use of mobile networks as a smart city network infrastructure.
  • A Complete Diagnosis of Faulty Sensor Modules in a Wireless Sensor Network
    • Abstract: Publication date: Available online 12 June 2019Source: Ad Hoc NetworksAuthor(s): Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar Wireless sensor network (WSN) is a collection of sensor devices, which collects information from the environment and sends to the base station by single-hop or multi-hop communication towards achieving some predefined objectives. Due to the multi-functional applications in the adventurer environment, the sensor modules are damaged by various external and internal sources, which leads to a failure sensor network. Therefore, automated fault diagnosis and fault tolerance are of utmost importance in WSN. In this article, a complete fault diagnosis methodology is proposed for faulty sensors in the failed WSN. The proposed methodology consists of four phases of functioning such as initialization, fault detection, fault classification, and fault tolerance phase. The hard fault and link fault are detected by checksum and Fletcher’s checksum method. The soft faults (permanent, intermittent, and transient) are detected by Mann-Whitney U statistical test. The Gaussian transformation function with a classification factor is used for soft faults classification. The fault tolerance is attained in the sensor system by the stepwise regressional method. The proposed methodology is implemented in a real testbed experiment with simulation setup. The parameters like fault detection accuracy, false alarm rate, false positive rate, fault classification rate, false classification rate, R-squared value, standard error, fault probability, and degree of sensors are considered for the evaluation of the proposed diagnosis methodology.
  • Machine Learning for Wireless Communications in the Internet of Things: A
           Comprehensive Survey
    • Abstract: Publication date: Available online 11 June 2019Source: Ad Hoc NetworksAuthor(s): Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever before. For this reason, techniques such as spectrum sharing, dynamic spectrum access, extraction of signal intelligence and optimized routing will soon become essential components of the IoT wireless communication paradigm. In this vision, IoT devices must be able to not only learn to autonomously extract spectrum knowledge on-the-fly from the network but also leverage such knowledge to dynamically change appropriate wireless parameters (e.g., frequency band, symbol modulation, coding rate, route selection, etc.) to reach the network’s optimal operating point. Given that the majority of the IoT will be composed of tiny, mobile, and energy-constrained devices, traditional techniques based on a priori network optimization may not be suitable, since (i) an accurate model of the environment may not be readily available in practical scenarios; (ii) the computational requirements of traditional optimization techniques may prove unbearable for IoT devices. To address the above challenges, much research has been devoted to exploring the use of machine learning to address problems in the IoT wireless communications domain. The reason behind machine learning’s popularity is that it provides a general framework to solve very complex problems where a model of the phenomenon being learned is too complex to derive or too dynamic to be summarized in mathematical terms.This work provides a comprehensive survey of the state of the art in the application of machine learning techniques to address key problems in IoT wireless communications with an emphasis on its ad hoc networking aspect. First, we present extensive background notions of machine learning techniques. Then, by adopting a bottom-up approach, we examine existing work on machine learning for the IoT at the physical, data-link and network layer of the protocol stack. Thereafter, we discuss directions taken by the community towards hardware implementation to ensure the feasibility of these techniques. Additionally, before concluding, we also provide a brief discussion of the application of machine learning in IoT beyond wireless communication. Finally, each of these discussions is accompanied by a detailed analysis of the related open problems and challenges.
  • Experimental in-depth Study of the Dynamics of an Indoor Industrial Low
           Power Lossy Network
    • Abstract: Publication date: Available online 10 June 2019Source: Ad Hoc NetworksAuthor(s): Rodrigo Teles Hermeto, Antoine Gallais, Fabrice Theoleyre An increasing number of industrial applications rely on low power embedded devices because of their flexibility. To work properly, the network has to respect requirements concerning specifically the delay and the reliability. Fortunately, low power, and slow channel hopping MAC help to cope with these requirements. For instance, IEEE802.15.4-TSCH relies on a strict schedule of the transmissions, spread over orthogonal radio channels, to set-up a resilient wireless infrastructure. A routing protocol (e.g. RPL) has then to construct energy-efficient routes on top of this link-layer topology. Unfortunately, the radio environment keeps on exhibiting time-varying characteristics, due to e.g. obstacles, and external interference. In a reservation-based stack, the network will have to implement over-provisioning, to cope with small-term variations: additional resources allow the network to operate in the worst situation. Inversely, long-term changes are triggered only when a node/link failure is detected. In this paper, we investigate experimentally the performance stability of a 6TiSCH/ IETF/ RPL stack in collocated deployments. We focus on some key metrics to exhibit the intermittent losses of guarantees (e.g. delivery ratio) under yet static conditions. Our results in large scale testbeds highlight that in the presence of radio oscillations, 6TiSCH introduces frequent network reconfigurations to combat interference and provide high reliability. We perform a multi-layer analysis of the 6TiSCH stack identifying the main sources of instability and proposing solutions to address each one of them. Our performance evaluation highlights the accuracy of our solutions to set up an efficient and reliable network.
  • A Survey on Bluetooth Multi-hop Networks
    • Abstract: Publication date: Available online 8 June 2019Source: Ad Hoc NetworksAuthor(s): Nicole Todtenberg, Rolf Kraemer Bluetooth was firstly announced in 1998. Originally designed as cable replacement connecting devices in a point-to-point fashion its high penetration arouses interest in its ad-hoc networking potential. This ad-hoc networking potential of Bluetooth is advertised for years - but until recently no actual products were available and less than a handful of real Bluetooth multi-hop network deployments were reported. The turnaround was triggered by the release of the Bluetooth Low Energy Mesh Profile which is unquestionable a great achievement but not well suited for all use cases of multi-hop networks. This paper surveys the tremendous work done on Bluetooth multi-hop networks during the last 20 years. All aspects are discussed with demands for a real world Bluetooth multi-hop operation in mind. Relationships and side effects of different topics for a real world implementation are explained. This unique focus distinguishes this survey from existing ones. Furthermore, to the best of the authors’ knowledge this is the first survey consolidating the work on Bluetooth multi-hop networks for classic Bluetooth technology as well as for Bluetooth Low Energy. Another individual characteristic of this survey is a synopsis of real world Bluetooth multi-hop network deployment efforts. In fact, there are only four reports of a successful establishment of a Bluetooth multi-hop network with more than 30 nodes and only one of them was integrated in a real world application - namely a photovoltaic power plant.
  • Software-Defined Architecture for QoS-Aware IoT Deployments in 5G Systems
    • Abstract: Publication date: Available online 8 June 2019Source: Ad Hoc NetworksAuthor(s): Luis Tello-Oquendo, Shih-Chun Lin, Ian F. Akyildiz, Vicent Pla Internet of Things (IoT), a ubiquitous network of interconnected objects, harvests information from the environments, interacts with the physical world, and uses the existing Internet infrastructure to provide services for information transfer and emerging applications. However, the scalability and Internet access fundamentally challenge the realization of a wide range of IoT applications. Based on recent developments of 5G system architecture, namely SoftAir, this paper introduces a new software-defined platform that enables dynamic and flexible infrastructure for 5G IoT communication. A corresponding sum-rate analysis is also carried out via an optimization approach for efficient data transmissions. First, the SoftAir decouples control plane and data plane for a software-defined wireless architecture and enables effective coordination among remote radio heads (RRHs), equipped with millimeter-wave (mmWave) frontend, for IoT access. Next, by introducing an innovative design of software-defined gateways (SD-GWs) as local IoT controllers in SoftAir, the wide diversity of IoT applications and the heterogeneity of IoT devices are easily accommodated. These SD-GWs aggregate the traffic from heterogeneous IoT devices and perform protocol conversions between IoT networks and radio access networks. Moreover, a cross-domain optimization framework is proposed in this extended SoftAir architecture concerning both upstream and downstream communication, where the respective sum-rates are maximized and system-level constraints are guaranteed, including (i) quality-of-service requirements of IoT transmissions, (ii) total power limit of mmWave RRHs, and (iii) fronthaul network capacities. Simulation results validate the efficacy of our solutions, where the extended SoftAir solution surpasses existing IoT schemes in spectral efficiency and achieves optimal data rates for next-generation IoT communication.
  • Energy Efficient Multi-Objective Evolutionary Routing Scheme for Reliable
           Data Gathering in Internet of Underwater Acoustic Sensor Networks
    • Abstract: Publication date: Available online 4 June 2019Source: Ad Hoc NetworksAuthor(s): Muhammad Faheem, Md Asri Ngadi, Vehbi Cagri Gungor Earth's surface is covered with two-thirds of water. The marine world covers the lakes, rivers and sea and is rich in natural resources largely unexplored by human beings. Recently, underwater wireless sensor network (UWSN) with the advancement in the internet of underwater smart things has emerged as promising networking techniques to explore the mysteries of vastly unexplored ocean environments for several underwater applications. These applications include offshore exploration, pollution monitoring, disaster prevention, oceanographic data collection, offshore oil fields monitoring, tactical surveillance applications and several others. However, the underwater channel impairments caused by multipath effects, fading, bit errors, variable and high latency and low bandwidth severely limits the data transmission reliability for UWSNs-based applications. This results in poor quality-aware data gathering in UWSNs. Therefore, designing a quality of service (QoS)-aware data gathering protocol to monitor and explore oceans is challenging in the underwater environments. In this paper, we propose a bio-inspired multi-objective evolutionary routing protocol (called MERP) for UWSNs-based applications. The designed routing protocol exploits the features of the natural evolution of the multi-objective genetic algorithm in order to provide reliable and energy-aware information gathering in UWSNs. The extensive simulation results show that the developed protocol attains its defined goals compared to existing UWSNs-based routing protocols during monitoring and exploring underwater environments.
  • Cascading Failures in Wireless Sensor Networks with load Redistribution of
           Links and Nodes
    • Abstract: Publication date: Available online 4 June 2019Source: Ad Hoc NetworksAuthor(s): Xiuwen Fu, Haiqing Yao, Yongsheng Yang Existing cascading models for wireless sensor networks (WSNs) cannot correctly reflect the traffic feature of WSNs. In this work, we build a more practical cascading model for WSNs, in which the network load is defined according to two new traffic metrics “sink-oriented node betweenness” and “sink-oriented link betweenness” and the cascading process is jointly propelled by the load redistribution of sensor nodes and wireless links. In addition, load-redistribution schemes are designed according to the principle of “idle capacity”. Simulation results show that the network invulnerability is positively related to the tolerance coefficient and negatively related to the exponential coefficient. The minimum costs needed to resist intentional node attacks are more expensive than the costs needed when facing intentional link attacks.
  • Towards Green Communication in Wireless Sensor Network: GA Enabled
           Distributed Zone Approach
    • Abstract: Publication date: Available online 29 May 2019Source: Ad Hoc NetworksAuthor(s): Sushil Kumar, Vipin Kumar, Omprakash Kaiwartya, Upasana Dohare, Neeraj Kumar, Jaime Lloret Green communication in wireless sensor networks (WSNs) has witnessed significant attention due to the growing significance of sensor enabled smart environments. Energy optimization and communication optimization are two major themes of investigation for green communication. Due to the growing sensor density in smart environment, intelligently finding shortest path for green communication has been proven an NP-complete problem. Literature in green communication majorly focuses towards finding centralized optimal path solution. These centralized optimal-path finding solutions were suitable for application specific traditional WSNs environments. The cutting edge sensor enabled smart environments supporting heterogender applications require distributed optimal path finding solutions for green communication. In this context, this paper proposes a genetic algorithm enabled distributed zone approach for green communication. Specifically, instead of searching the optimal path solution in the whole network, the proposed algorithm identifies path in a small search space called distributed forward zone. The concept of forward zone enhances the searching convergence speed and reduces the computation centric communication cost. To encode the distributed routing solutions, variable length chromosomes are considered focusing on the target distributed area. The genetic algorithm enabled distributed zone approach prevents all the possibilities of forming the infeasible chromosomes. Crossover and truncation selection together generate a distributed path finding solution. To validate the experimental results with analytical results, various mathematical models for connectivity probability, expected end-to-end delay, expected energy consumption, and expected computational cost have been derived. The simulation results show that the proposed approach gives the high-quality solutions in comparison to the state-of-the-art techniques including Dijkstra's algorithm, compass routing, most forward within radius, Ahn-Ramakrishna's algorithm and reliable routing with distributed learning automaton (RRDLA).
  • Optimized Routers Positions for Large-Scale RF Mesh Networks based on
           Clustering Algorithms
    • Abstract: Publication date: Available online 28 May 2019Source: Ad Hoc NetworksAuthor(s): Ahmad Mohamad Mezher, Julián Cárdenas-Barrera, Nisha Rajendran, Julian Meng, Eduardo Castillo Guerra Nowadays, a great interest to upgrade the existing power grid to become smart grid (SG) has been put by both, the research and the industrial community. More specifically, smart metering and communications method are recently and extensively getting studied in SG. However, the design and development of an efficient routing protocol in Radio Frequency (RF) mesh network to connect the advanced metering infrastructure (AMI) to collectors and vice versa highly depends on the positions of the routers. In this spirit, we focus our work in this paper to optimize the positions of the available routers to bring out the highest possible connectivity between smart meters and collectors. To do so, we have used two well-known clustering algorithms, the maximum distance to average vector (MDAV) and the Lloyd algorithm, to allocate routers in their optimized positions in a smart grid scenario. An extensive simulations have been carried out with the proposed algorithms, where significant improvement has been shown with respect to the initial distribution of routers.
  • Energy-Efficient On-Demand Indoor Localization Platform based on Wireless
           Sensor Networks using Low Power Wake up Receiver
    • Abstract: Publication date: Available online 27 May 2019Source: Ad Hoc NetworksAuthor(s): Amir Guidara, Faouzi Derbel, Ghofrane Fersi, Sadok Bdiri, Maher Ben Jemaa Indoor localization system is one of many trendy services that fall within the framework of Smart Buildings and Internet of Things development. The Wireless Sensor Networks (WSN) technology has tremendously contributed to this field of research especially in the development of low cost solutions. The wireless nodes in the indoor localization platforms are becoming battery-powered to overcome the high costs of wired power supply and to maintain high installation flexibility in dynamic indoor environments. Since the battery has a limited energy capacity, it is important to find methods to optimize the power consumption within the sensor node. To increase the battery lifetime, the wireless node must be maintained as long as possible at its lowest power consumption level which is called sleep mode.This article presents an energy-efficient on-demand protocol for the WSN-based indoor localization platform. In this protocol the wireless nodes are maintained in low power idle listening mode using low power built-in Wake-Up receiver and they are activated only when a localization request occurs. This method permits to optimize the activity time of the wireless node and extends its battery lifetime.
  • LoICen: A Novel Location-Based and Information-Centric Architecture for
           Content Distribution in Vehicular Networks
    • Abstract: Publication date: Available online 25 May 2019Source: Ad Hoc NetworksAuthor(s): Azzedine Boukerche, Rodolfo W.L. Coutinho The information-centric networking (ICN) paradigm has gained increasing attention as a solution to boost content delivery in vehicular network applications. The content-naming oriented search and in-network data caching procedures of ICN can improve content delivery by avoiding the need of determining and maintaining end-to-end routing paths in vehicular networks, which is challenging due to the mobility of vehicles, and intermittent and short-lived connection among them. However, the use of the ICN paradigm in vehicular networks aggravates the broadcast storm problem and constantly suffer from breaks in the reverse path used for content discovery and delivery. In this paper, we propose the location-based and information-centric (LoICen) architecture to improve content request procedure and reduce the broadcast storm problem in intelligent vehicular networks. In the LoICen architecture, vehicles opportunistically obtain the location information of the vehicles that might have desired content in their cache. This location information is used whenever possible to improve content search and discovery by directing Interest packets to the area where the content may be located, mitigate the broadcast storm problem by selecting only the most suitable neighboring vehicle at each hop to continue forwarding the Interest packet, and improve content delivery by selecting more stable paths. Simulation results show that the LoICen architecture outperformed related work in terms of content delivery ratio while reducing the delay for the content delivery and the number of transmissions of Interest packets for content search.
  • Emergency Aware Congestion Control for Smart Grid Neighborhood Area
    • Abstract: Publication date: Available online 25 May 2019Source: Ad Hoc NetworksAuthor(s): Juan Pablo Astudillo León, Luis J. de la Cruz Llopis The evolution of traditional electricity distribution infrastructures towards Smart Grid networks has generated the need to carry out new research. There are many fields that have attracted the attention of researchers, among which is the improvement of the performance of the so-called Neighborhood Area Networks (NAN). In this sense, and given the critical nature of some of the data transmitted by these networks, maintaining an adequate quality of service (QoS) is absolutely necessary. In emergency situations, this need becomes even more evident. This article presents a congestion control mechanism, whose parameters are modified according to the network state of emergency. The mechanism also applies a multi-channel allocation technique, together with a differentiation in the QoS offered to the different data flows according to their relevance. These proposals have been evaluated in the context of a wireless mesh networks (WMN) made up by a set of smart meter devices, where various smart grids (SG) applications are sending their data traffics. Each SG application must meet its unique quality of service (QoS) requirements, such as reliability and delay. To evaluate the proposals, some NAN scenarios have been built by using the ns-3 simulator and its 802.11s basic model, which was modified to implement the proposed techniques. Compared with the basic Hybrid Wireless Mesh Protocol (HWMP), Emergency Aware Congestion Control proposal (EA-HWMP), shows significant improvements in terms of packet delivery ratio, network throughput and transit time.
  • 5GinFIRE: An End-to-End Open5G Vertical Network Function Ecosystem
    • Abstract: Publication date: Available online 23 May 2019Source: Ad Hoc NetworksAuthor(s): Aloizio P. Silva, Christos Tranoris, Spyros Denazis, Susana Sargento, João Pereira, Miguel Luís, Rodrigo Moreira, Flávio Silva, Ivan Vidal, Borja Negales, Reza Nejabati, Dimitra Simeonidou Advanced communication networks, such as 5G and beyond, will be a complex ecosystem made of multiple physically interconnected elements, implying that the upcoming network will have to address capabilities such as flexibility, programmability and extensibility. This article, describes an Open and Extensible 5G Network Function Virtualisation (NFV) based Reference ecosystem of experimental facilities, named 5GinFIRE, that integrates existing facilities with new vertical-specific ones but also lays down the foundations for instantiation fully softwarised architectures of vertical industries and experimenting with them. Additionally, we present 5GinFIRE as the forerunner experimental playground, together with three uses cases, wherein new components, architecture designs and APIs may be tried and proposed before they are ported to more industrially mainstream 5G networks that are expected to emerge in large scale.
  • Multiple and Replicated Random Walkers Analysis for Service Discovery in
           Fog Computing IoT Environments
    • Abstract: Publication date: Available online 22 May 2019Source: Ad Hoc NetworksAuthor(s): Konstantinos Skiadopoulos, Konstantinos Oikonomou, Markos Avlonitis, Konstantinos Giannakis, Dimitrios Kogias, Ioannis Stavrakakis The multiple random walkers mechanism is revisited in this paper for service discovery purposes considering modern dynamic network environments like the Internet of Things (IoT), where there is a need for certain services (e.g., virtual network functions) to be available to the end users through fog computing devices. Network coverage is analytically investigated here considering multiple random walkers in soft random geometric graph topologies of various densities. It is shown that as the number of random walkers increases, then coverage linearly increases in the considered topologies. The analytical findings of this work are shown to be in accordance with other results in the literature (e.g., coverage under multiple random walkers for fully connected network topologies). Moreover, for certain coverage and time constraints (i.e., the minimum fraction of network nodes to be covered within a certain time period that is of practical importance in the considered environment), the required minimum number of random walkers satisfying these constraints is also analytically derived. A replication mechanism that allows random walkers to replicate themselves after a fixed number of time steps is also analytically investigated here with respect to coverage for various topology densities. Simulation results demonstrate the effectiveness of multiple random walkers for service discovery purposes in the considered fog computing IoT environment and support the claims and expectations of the analysis for both the multiple random walkers and the replicated multiple random walkers mechanism.
  • Neighbor Knowledge-based Rebroadcast Algorithm for minimizing the Routing
           overhead in Mobile Ad-hoc Networks
    • Abstract: Publication date: Available online 22 May 2019Source: Ad Hoc NetworksAuthor(s): Y. Harold Robinson, R. Santhana Krishnan, E. Golden Julie, Raghvendra Kumar, Le Hoang Son, Pham Huy Thong Mobile Ad-hoc Networks are constructed without any administration, providing the quality of service in spite of routing overhead. In MANET, it is impossible for a mobile host to contact with other hosts in a single-hop fashion. In a multi-hop scenario, packets sent by the source host are relayed by a number of intermediate hosts before reaching the destination host. Due to node mobility in MANETs, frequent path failures and route discoveries occur. Hence, RREQ (Route Request) packets have to be broadcasted for finding the route. This leads to excessive redundant retransmission of RREQ packets. This strategy induces routing overhead in MANET. In this paper, we propose a reliable routing method to obtain the Quality of Service in MANET. The bandwidth requirement is calculated using the strength of the node's signal in the established nodes. The selection of route is based on the fewer amounts of delay and strong stability. To ascertain the route more efficient than traditional broadcasting style, rebroadcast can be done with the assistance of neighbor knowledge methods. Here, NKR (Neighbor Knowledge-based Rebroadcast) algorithm and LVC (Loose Virtual Clustering) algorithm are used for routing overhead reduction in MANETs. The experimental results prove that the proposed work performs well in terms of routing overhead, network traffic and successful broadcast of data packets in the network.
  • Stochastic Computation Resource Allocation for Mobile Edge Computing
           Powered by Wireless Energy Transfer
    • Abstract: Publication date: Available online 21 May 2019Source: Ad Hoc NetworksAuthor(s): Chunlin Li, Weining Chen, Hengliang Tang, Yan Xin, Youlong Luo Limited battery capacity and poor computing capability of wireless devices have been longstanding performance limitations in the Internet of Things (IoT) era. Employing Wireless Energy Transfer (WET) technology, wireless devices of the Mobile Edge Computing (MEC) systems can be released from these limitations and achieve a better quality of experience (QoE). This paper considered a wireless powered mobile edge computing (WP-MEC) system with one mobile device, where a double antenna hybrid access point (HAP) (integrated with a MEC server) transmits wireless energy to the device and communicates with the wireless terminal to assist in its data processing. We investigated the average computation rate maximization problem in this system and proposed an online service rate maximization (OSRM) algorithm to tackle this problem. In each time slot, the proposed algorithm optimally decides the time allocation policy and the CPU-frequency for the mobile device. Simulation results show that the proposed algorithm can balance the time average computation rate and the task buffer queue length, and outperforms the benchmark schemes.
  • Special Issue on Security of IoT-enabled Infrastructures in Smart Cities
    • Abstract: Publication date: Available online 22 February 2019Source: Ad Hoc NetworksAuthor(s): Ali Ismail Awad, Steven Furnell, Abbas M. Hassan, Theo Tryfonas
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