Title: Distributed fault-tolerance consensus filtering in wireless sensor networks-Part I: communication failure

Authors: Ping He; Tao Fan

Addresses: Department of Automation, School of Automation and Electronic Information, Sichuan University of Science and Engineering, Zigong, Sichuan 643000, China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, 180#, Xueyuan Street, Huixing Road, Zigong, Sichuan 643000, China ' Department of Automation, School of Automation and Electronic Information, Sichuan University of Science and Engineering, Zigong, Sichuan 643000, China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, 180#, Xueyuan Street, Huixing Road, Zigong, Sichuan 643000, China

Abstract: In this paper, a distributed fault-tolerance consensus filtering problem for wireless sensor networks (WSNs) with communication failure is investigated. A new type of distributed fault tolerance consensus filter is designed, where each sensor can communicate with the neighbouring sensors, and filtering can be performed in a distributed coordinated function. Because the sensor networks may be disturbed by loss of transmitting effectiveness, the performance of sensor network will be degraded by using the faulted signals. Under the unknown assumption for the failures, adaptive laws are proposed to estimate the failures factors. Then based on the information of adaptive schemes, a distributed fault-tolerance consensus filter scheme is designed to guarantee that all sensors asymptotically trace the target in the presence of the uncertain faults. Simulation results are given to verify the feasibility and effectiveness of the designed distributed fault-tolerance consensus filter.

Keywords: fault tolerance; distributed consensus filters; WSNs; wireless sensor networks; adaptive control; coordination control; communication failure; simulation; fault-tolerant consensus filters.

DOI: 10.1504/IJSNET.2016.079587

International Journal of Sensor Networks, 2016 Vol.22 No.2, pp.127 - 142

Available online: 29 Sep 2016 *

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