Subjects -> INSTRUMENTS (Total: 63 journals)
Showing 1 - 16 of 16 Journals sorted alphabetically
Applied Mechanics Reviews     Full-text available via subscription   (Followers: 27)
Bulletin of Social Informatics Theory and Application     Open Access   (Followers: 1)
Computational Visual Media     Open Access   (Followers: 4)
Devices and Methods of Measurements     Open Access  
Documenta & Instrumenta - Documenta et Instrumenta     Open Access  
EPJ Techniques and Instrumentation     Open Access  
European Journal of Remote Sensing     Open Access   (Followers: 9)
Experimental Astronomy     Hybrid Journal   (Followers: 39)
Flow Measurement and Instrumentation     Hybrid Journal   (Followers: 18)
Geoscientific Instrumentation, Methods and Data Systems     Open Access   (Followers: 4)
Geoscientific Instrumentation, Methods and Data Systems Discussions     Open Access   (Followers: 1)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 2)
IEEE Sensors Journal     Hybrid Journal   (Followers: 103)
IEEE Sensors Letters     Hybrid Journal   (Followers: 3)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Imaging & Microscopy     Hybrid Journal   (Followers: 9)
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan     Open Access  
Instrumentation Science & Technology     Hybrid Journal   (Followers: 6)
Instruments and Experimental Techniques     Hybrid Journal   (Followers: 1)
International Journal of Applied Mechanics     Hybrid Journal   (Followers: 7)
International Journal of Instrumentation Science     Open Access   (Followers: 40)
International Journal of Measurement Technologies and Instrumentation Engineering     Full-text available via subscription   (Followers: 2)
International Journal of Metrology and Quality Engineering     Full-text available via subscription   (Followers: 4)
International Journal of Remote Sensing     Hybrid Journal   (Followers: 282)
International Journal of Remote Sensing Applications     Open Access   (Followers: 45)
International Journal of Sensor Networks     Hybrid Journal   (Followers: 4)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Journal of Applied Remote Sensing     Hybrid Journal   (Followers: 83)
Journal of Astronomical Instrumentation     Open Access   (Followers: 3)
Journal of Instrumentation     Hybrid Journal   (Followers: 32)
Journal of Instrumentation Technology & Innovations     Full-text available via subscription   (Followers: 2)
Journal of Medical Devices     Full-text available via subscription   (Followers: 5)
Journal of Medical Signals and Sensors     Open Access   (Followers: 3)
Journal of Optical Technology     Full-text available via subscription   (Followers: 5)
Journal of Sensors and Sensor Systems     Open Access   (Followers: 11)
Journal of Vacuum Science & Technology B     Hybrid Journal   (Followers: 3)
Jurnal Informatika Upgris     Open Access  
Measurement : Sensors     Open Access   (Followers: 3)
Measurement and Control     Open Access   (Followers: 36)
Measurement Instruments for the Social Sciences     Open Access  
Measurement Science and Technology     Hybrid Journal   (Followers: 7)
Measurement Techniques     Hybrid Journal   (Followers: 3)
Medical Devices & Sensors     Hybrid Journal  
Medical Instrumentation     Open Access  
Metrology and Instruments / Метрологія та прилади     Open Access  
Metrology and Measurement Systems     Open Access   (Followers: 6)
Microscopy     Hybrid Journal   (Followers: 8)
Modern Instrumentation     Open Access   (Followers: 50)
Optoelectronics, Instrumentation and Data Processing     Hybrid Journal   (Followers: 4)
PFG : Journal of Photogrammetry, Remote Sensing and Geoinformation Science     Hybrid Journal  
Photogrammetric Engineering & Remote Sensing     Full-text available via subscription   (Followers: 29)
Remote Sensing     Open Access   (Followers: 55)
Remote Sensing Applications : Society and Environment     Full-text available via subscription   (Followers: 8)
Remote Sensing of Environment     Hybrid Journal   (Followers: 93)
Remote Sensing Science     Open Access   (Followers: 24)
Review of Scientific Instruments     Hybrid Journal   (Followers: 23)
Science of Remote Sensing     Open Access  
Sensors and Materials     Open Access   (Followers: 2)
Solid State Nuclear Magnetic Resonance     Hybrid Journal   (Followers: 3)
Standards     Open Access  
Transactions of the Institute of Measurement and Control     Hybrid Journal   (Followers: 13)
Труды СПИИРАН     Open Access  
Similar Journals
Journal Cover
International Journal of Sensor Networks
Journal Prestige (SJR): 0.25
Citation Impact (citeScore): 1
Number of Followers: 4  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1748-1279 - ISSN (Online) 1748-1287
Published by Inderscience Publishers Homepage  [450 journals]
  • Energy-efficiency and coverage quality management for reliable diagnostics
           in wireless sensor networks
    • Authors: Ahmad Farhat, Christophe Guyeux, Mohammed Haddad, Mourad Hakem
      Pages: 127 - 138
      Abstract: The processing of data and signals provided by sensors aims at extracting relevant features which can be used to assess and diagnose the health state of the monitored targets. Nevertheless, wireless sensor networks (WSNs) present a number of shortcomings that have an impact on the quality of the gathered data at the sink level, leading to imprecise diagnostics of the observed targets. To improve data accuracy, two main critical and related issues, namely the energy consumption and coverage quality, need to be considered. In this paper, we present a distributed algorithm based on a theory of domination in graphs, and we study its impact on diagnostics by using six machine learning algorithms. First, we give the correctness proofs and next we assess its behaviour through simulations. Obtained results show that the proposed algorithm exhibits good performances despite its lower complexity.
      Keywords: sensor networks; distributed algorithms; lifetime optimisation; coverage; diagnostics; domination in graphs
      Citation: International Journal of Sensor Networks, Vol. 32, No. 3 (2020) pp. 127 - 138
      PubDate: 2020-03-03T23:20:50-05:00
      DOI: 10.1504/IJSNET.2020.105558
      Issue No: Vol. 32, No. 3 (2020)
  • Amputee walking mode recognition based on mel frequency cepstral
           coefficients using surface electromyography sensor
    • Authors: Tahir Hussain, Nadeem Iqbal, Hafiz Farhan Maqbool, Mukhtaj Khan, Mehak Tahir
      Pages: 139 - 149
      Abstract: Walking mode recognition through surface electromyography (sEMG) sensors is an active field of smart prostheses technologies. This work presents the mel frequency cepstral coefficients of the nonlinear sEMG signals as an effective feature for the recognition of different walking modes. Principal component analysis and mutual information were used for feature reduction and optimum sEMG channel selection respectively. The proposed recognition system identifies five walking modes such as normal walking, slow walking, fast walking, ramp ascending and ramp descending. The proposed method was evaluated using 11 channels of lower limb sEMG signals recorded from six subjects including four able-bodied, one unilateral transtibial and one unilateral transfemoral amputee. Several classifiers were trained with a pool of collected data. The experimental result exhibits that the proposed system achieved the highest accuracy of 97.50% using support vector machine. The promising results of this work could promote the future developments of neural-controlled lower limb prosthetics.
      Keywords: surface electromyography sensor; MFCCs; mel frequency cepstral coefficient; neurological signal; optimum channel selection; prosthesis; support vector machine; walking mode recognition; feature extraction; feature reduction; performance analysis
      Citation: International Journal of Sensor Networks, Vol. 32, No. 3 (2020) pp. 139 - 149
      PubDate: 2020-03-03T23:20:50-05:00
      DOI: 10.1504/IJSNET.2020.105562
      Issue No: Vol. 32, No. 3 (2020)
  • Energy-efficient MAC protocols for wireless sensor networks: a
    • Authors: Farhana Afroz, Robin Braun
      Pages: 150 - 173
      Abstract: Wireless sensor network (WSN) is a network of a large number of battery-powered tiny sensor nodes wirelessly connected together to facilitate a wide range of monitoring applications. As WSN nodes are energy-constrained microelectronic devices, the primary design objective of WSNs is to minimise energy consumption to prolong the network lifetime. To achieve this goal, a range of cross-layer techniques, particularly focusing on medium access control (MAC) sublayer, is proposed targeting different WSN applications. This paper aims to survey low-power WSN MAC protocols, proposed from 2000 to the present, emphasising some general aspects including the issues addressed, the solutions proposed, design principles, strengths, drawbacks and target applications. With this aim, we mainly classify the MAC protocols into three categories: contention-based protocols, time division multiple access (TDMA)-based protocols and hybrid protocols, where the first category is further subdivided into subclasses. The development trends and potential research challenges are also discussed.
      Keywords: WSN; wireless sensor network; MAC protocols; energy efficiency; network lifetime; QoS; quality of service; duty cycling; CSMA; carrier sense multiple access; TDMA; time division multiple access; hybrid
      Citation: International Journal of Sensor Networks, Vol. 32, No. 3 (2020) pp. 150 - 173
      PubDate: 2020-03-03T23:20:50-05:00
      DOI: 10.1504/IJSNET.2020.105563
      Issue No: Vol. 32, No. 3 (2020)
  • Virtual force field coverage algorithms for wireless sensor networks in
           water environments
    • Authors: Wang Jun, Guo Haoyang
      Pages: 174 - 181
      Abstract: Methods for underwater wireless sensor networks (UWSNs) currently lack the ability to monitor different zones in a water area. The coverage of the main area does not produce good results when fewer nodes are deployed. An UWSN algorithm based on the virtual force field algorithm is designed, termed the focus virtual force field method (FVFF). The concept of the key focus area is proposed. By adjusting the force and parameters of the virtual force field algorithm nodes, the monitored waters are partitioned The virtual force field algorithm has better coverage for water with fewer nodes and guarantees the coverage rate of the main area. Moreover, the cost of the system is reduced because of the use of nodes with restricted mobility. The simulation results show that the FVFF algorithm has a higher coverage rate than the virtual force field algorithm and the random deployment node method when the number of nodes is small. FVFF has better coverage in the main area of water.
      Keywords: UWSN; underwater wireless sensor network; coverage control; virtual force field; mobility-constrained nodes; node scheduling; network optimise; sensor node; cover percentage
      Citation: International Journal of Sensor Networks, Vol. 32, No. 3 (2020) pp. 174 - 181
      PubDate: 2020-03-03T23:20:50-05:00
      DOI: 10.1504/IJSNET.2020.105564
      Issue No: Vol. 32, No. 3 (2020)
  • Mobility aware and traffic adaptive hybrid MAC protocol for collaborative
           body sensor networks
    • Authors: Nadine Boudargham, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul, Christophe Guyeux
      Pages: 182 - 196
      Abstract: Collaborative body sensor network (CBSN) is formed of several body sensor networks (BSNs) moving in a given area and able to exchange data between each other. One of the challenges in CBSN is to design a Medium Access Protocol that efficiently supports nodes mobility, and at the same time, guarantees immediate delivery of urgent data, and maintains high energy efficiency during regular observation. In this paper, a hybrid traffic and mobility aware MAC (TMA-MAC) is proposed to satisfy CBSN's traffic requirements through adopting a hybrid DS-CDMA/DTDMA technique, and to support CBSN's nodes mobility through ensuring efficient transmission of intracluster mobile nodes data and proposing a mechanism to handle inter-cluster nodes joining requests. TMA-MAC was compared to other existing protocols under both traffic and mobility variations. Simulations were conducted using OPNET to evaluate TMA-MAC with respect to packet delay, packet drop percentage, and energy consumption.
      Keywords: MWSN; mobile wireless sensor network; CBSN; collaborative body sensor network; MAC; medium access control; DTDMA; dynamic time division multiple access; DS-CDMA; direct sequence code division multiple access; mobility; delay; packet drop; energy
      Citation: International Journal of Sensor Networks, Vol. 32, No. 3 (2020) pp. 182 - 196
      PubDate: 2020-03-03T23:20:50-05:00
      DOI: 10.1504/IJSNET.2020.105565
      Issue No: Vol. 32, No. 3 (2020)
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