Distributed Fault Detection for Wireless Sensor Based on Weighted Average

Author

Ji, Sai ; Yuan, Shen-Fang ; Ma, Ting-Huai ; Tan, Chang

Author_Institution

Aeronaut. Sci. Key Lab. for Smart Mater. & Struct., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

Volume

1

fYear

2010

fDate

24-25 April 2010

Firstpage

57

Lastpage

60

Abstract

This paper presents a distributed fault detection algorithm for wireless sensor networks (WSNs) by exploring the weighted average value scheme. Considering the spatial correlations in WSNs, a faulty sensor can diagnose itself through comparing its own sensed data with the average of neighbors´ data. Simulation results show that sensor nodes with permanent faults are identified with high accuracy for a wide range of fault rate, and keep false alarm rate for different levels of sensor fault model.

Keywords

fault diagnosis; wireless sensor networks; distributed fault detection algorithm; sensor fault model; sensor nodes; spatial correlations; weighted average value scheme; wireless sensor network; Application software; Fault detection; Fault diagnosis; Fault tolerance; Hardware; Materials science and technology; Paper technology; Space technology; Wireless communication; Wireless sensor networks; fault detection; spatial correlation; weighted average; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-4011-5

Electronic_ISBN

978-1-4244-6598-9

Type

conf

DOI

10.1109/NSWCTC.2010.21

Filename

5481113