 Subjects -> INSTRUMENTS (Total: 62 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
survey- 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 consumption
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)
|
Hybrid journal (It can contain Open Access articles)
