Publications

@conference{Saihi2015189,

title = {Distributed fault detection based on HMM for wireless sensor networks},

author = {M. Saihi and B. Boussaid and A. Zouinkhi and N. Abdelkrim},

editor = {Chaabane M. Aitouch A. Mehdi D.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962530881\&doi=10.1109%2fICoSC.2015.7153274\&partnerID=40\&md5=77e92e408583e2d36ef45601ffcd1573},

doi = {10.1109/ICoSC.2015.7153274},

isbn = {9781479983186},

year  = {2015},

date = {2015-01-01},

journal = {2015 4th International Conference on Systems and Control, ICSC 2015},

pages = {189-193},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In their practical applications, Wireless Sensor Networks (WSNs) can experience faults during running. Furthermore, faulty data collected in the base station might lead to a wrong judgement. Since the whole system's performance require the accuracy of data, node fault detection is necessary. Motivated by the requirement of fault detection performance, we propose a distributed fault detection algorithm for wireless senor networks based on Hidden Markov Model (HMM). Firstly, a density of probability method is presented to obtain the possibility of translation of state for each node in the network. Then, a HMM is introduced to characterize the tendency of each node to be faulty. Finally, a distributed fault detection algorithm is proposed based on the HMM. Simulation results show that the proposed HMM-based fault detection achieves high detection accuracy. © 2015 IEEE.},

note = {cited By 7},

keywords = {Density of probability; Detection accuracy; Detection performance; Distributed fault detections; HMM-based; System's performance; Wireless senor network; Wireless sensor network (WSNs), Fault detection, Hidden Markov models; Markov processes; Sensor nodes; Signal detection; Wireless sensor networks},

pubstate = {published},

tppubtype = {conference}

}