 Subjects -> INSTRUMENTS (Total: 63 journals)
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- Introduction to intelligent transportation system: overview,
classification based on physical architecture, and challenges-
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Authors: Shivani Sharma, Sateesh Kumar Awasthi
Pages: 215 - 240
Abstract: The rapid increase in the number of vehicles has become a major problem associated with traffic management. To ameliorate the traffic efficiency and minimisation of mess, the traffic management system (TMS) comes into existence. Traffic control centre (TCC), intelligent transportation system (ITS), and CCTVs are the major elements of TMS. ITS is considered a key element of TMS. It is known for the management of traffic mobility, and management of vehicles by assisting the drivers. ITS is responsible for establishing the communication between the infrastructure and vehicles or among the vehicles. Physical ITS architecture has significance in establishing the link between physical entities and data flow. The current article focuses on the introduction and classification of the ITS model such as centralised, distributed, and hybrid based on the physical architecture. Special emphasis has been given to discussing the issues linked with these models during data dissemination and rerouting.
Keywords: intelligent transportation system; ITS; VANETs; DSRC; IEEE 802.11p; broadcast storm; communication overhead; traffic management system; TMS; traffic control centre; TCC
Citation: International Journal of Sensor Networks, Vol. 38, No. 4 (2022) pp. 215 - 240
PubDate: 2022-05-03T23:20:50-05:00
DOI: 10.1504/IJSNET.2022.122593
Issue No: Vol. 38, No. 4 (2022)
- IoT networks for monitoring and detection of leakage in pipelines
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Authors: Seham S. Bakhder, Ghadah Aldabbagh, Nikos Dimitriou, Samar Alkhuraiji, Mai Fadel, Helen Bakhsh
Pages: 241 - 253
Abstract: Pipelines have been an important means of oil transport in recent years, especially in Saudi Arabia. Since oil pipelines have extensive length, tracking them is a critical task. Therefore, monitoring pipeline leaks has become a significant field of intelligent sensing systems. There are many challenges when monitoring long-distance pipelines, requiring energy efficiency. Wireless sensor networks (WSNs) deployed in oil pipelines provides solutions to address these challenges, but various issues must be considered, such as costs, scalability, and delay issues for monitoring systems. The recent advances in internet of things (IoTs) and the new LPWAN capabilities have promising benefits over monitoring systems. This paper investigates WSN systems in oil pipelines with IoT technologies. Also, it presents a LoRa as an LPWAN single-hop model for monitoring aboveground oil pipelines. The LoRa model is evaluated by using two scenarios and analysing the scalability and capacity of the LoRa and discussing the result.
Keywords: internet of things; IoTs; wireless sensor network; WSN; low power WAN; LPWAN; LoRa; long range; low power
Citation: International Journal of Sensor Networks, Vol. 38, No. 4 (2022) pp. 241 - 253
PubDate: 2022-05-03T23:20:50-05:00
DOI: 10.1504/IJSNET.2022.122559
Issue No: Vol. 38, No. 4 (2022)
- Improved bees algorithm for the deployment of homogeneous and
heterogeneous wireless sensor networks-
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Authors: Hicham Deghbouch, Fatima Debbat
Pages: 254 - 262
Abstract: Nowadays, countless applications benefit from the services provided by wireless sensor networks (WSNs) in remote surveillance and data gathering. Coverage is considered an important quality of service (QoS) criterion for many of these applications. To ensure that the required QoS is achieved, the sensors must be placed in locations that optimise the area coverage and eliminate the coverage holes, especially when deploying sensors with heterogeneous sensing ranges. In this paper, a novel sensor deployment scheme based on the improved bees algorithm (IBA) for optimising the area coverage in both homogeneous and heterogeneous WSNs is proposed. The IBA includes a neighbourhood shrinking procedure that aims to improve the local search efficiency and a site abandonment procedure for preventing the algorithm from the entrapment in a local optimum. Experiments show that the IBA delivers high-quality solutions and optimises the area coverage effectively compared with four state-of-the-art methods in homogeneous and heterogeneous WSNs.
Keywords: wireless sensor networks; WSNs; bio-inspired algorithms; metaheuristics; coverage redundancy; area coverage; simulation; optimisation
Citation: International Journal of Sensor Networks, Vol. 38, No. 4 (2022) pp. 254 - 262
PubDate: 2022-05-03T23:20:50-05:00
DOI: 10.1504/IJSNET.2022.122568
Issue No: Vol. 38, No. 4 (2022)
- An IoT-based scalable river level monitoring platform
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Authors: Juan Acosta, Diego Mendez, Daniel Moreno, German Montanez, Luis Trujillo, Mauricio Escobar, Ignacio Gonzalez
Pages: 263 - 272
Abstract: Due to extreme natural conditions, there is a clear necessity of cost-effective and scalable solutions to continuously monitor the environmental conditions in order to take precautionary actions. In this paper, we present the design and implementation of an IoT-based solution for river level monitoring. The implemented system integrates 31 stations with communication capabilities to monitor the status of the Negro and Nare rivers. An embedded system has been designed and implemented from scratch into a single PCB, integrating ultrasonic sensors and power management. In order to consolidate and visualise the data, a cloud platform has been implemented, which is also in charge of generating alerts to local authorities and the population in general. The stations have an autonomy of 22 days in case of complete solar panel damage. The experimental results show that the river dynamics are perfectly captured in real-time allowing the authorities to timely warn the population.
Keywords: embedded system; early warning system; floods; river level
Citation: International Journal of Sensor Networks, Vol. 38, No. 4 (2022) pp. 263 - 272
PubDate: 2022-05-03T23:20:50-05:00
DOI: 10.1504/IJSNET.2022.122574
Issue No: Vol. 38, No. 4 (2022)
- IoT-based indoor access control and monitoring: a case study from the
containment measures of the COVID-19 pandemic-
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Authors: Sergio Henrique Andrade, Rogério Negrão, Micael Fernandes, Fernando Costa, Marcos César Da Rocha Seruffo
Pages: 273 - 281
Abstract: The COVID-19 pandemic has led many serving environments to seek solutions to control people's access and avoid crowding in order to contain its spread, and to ensure the health and safety of users. Given the various current solutions, this paper presents a monitoring system that shows, in real-time, via web, the status of people in closed environments. It uses internet of things (IoT) techniques for data interconnections and electronic components - NodeMCU board and proximity sensors - to monitor the entrance and exit of people in an enclosed environment, providing the statistics through an IoT platform (application) that can be installed in a mobile device (smartphone). This study highlights a low-budget system, shows the implementation of IoT platforms in the development of prototypes and the tests carried out in the academic service office.
Keywords: internet of things; IoT; COVID-19; IoT monitoring; IoT platform; prototypes
Citation: International Journal of Sensor Networks, Vol. 38, No. 4 (2022) pp. 273 - 281
PubDate: 2022-05-03T23:20:50-05:00
DOI: 10.1504/IJSNET.2022.122579
Issue No: Vol. 38, No. 4 (2022)
- A false deletion data tracking method based on Fisher information distance
in wireless sensor networks-
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Authors: Wei Jing, Peng Wang, Ningchao Zhang
Pages: 282 - 292
Abstract: To solve the shortcomings of traditional data tracking methods, such as low tracking efficiency, high error rates, high consumption, and so on, we propose a method based on Fisher information distance to track the deleted data in wireless sensor networks. The proposed method adopts a multilateral measurement technology to measure the geometric data and mutual position information among wireless sensors. It also adopts a Kalman filter to reduce noise interference during data processing. It selects the most suitable and pre-selected member component tracking cluster to realise data tracking of wireless sensor networks based on Fisher information distance. Experimental results show that the proposed method has high accuracy, noise elimination ability, and network energy consumption saving capability.
Keywords: Fisher information distance; wireless sensors; deleted data by mistakes; data tracking
Citation: International Journal of Sensor Networks, Vol. 38, No. 4 (2022) pp. 282 - 292
PubDate: 2022-05-03T23:20:50-05:00
DOI: 10.1504/IJSNET.2022.122583
Issue No: Vol. 38, No. 4 (2022)
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Hybrid journal (It can contain Open Access articles)
