Using sensorranks for in-network detection of faulty readings in wireless sensor networks

Xiang Yan Xiao*, Wen-Chih Peng, Chih Chieh Hung, Wang Chien Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

64 Scopus citations

Abstract

In this paper, the problem of determining faulty readings in a wireless sensor network without compromising detection of important events is studied. By exploring correlations between readings of sensors, a correlation network is built based on similarity between readings of two sensors. By exploring Markov Chain in the network, a mechanism for rating sensors in terms of the correlation, called SensorRank, is developed. In light of SensorRank, an efficient in-network voting algorithm, called TrustVoting, is proposed to determine faulty sensor readings. Performance studies are conducted via simulation. Experimental results show that the proposed algorithm outperforms majority voting and distance weighted voting, two state-of-the-art approaches for in-network faulty reading detection.

Original languageEnglish
Title of host publicationMobiDE'07
Subtitle of host publicationProceedings of the 6th ACM International Workshop on Data Engineering for Wireless and Mobile Access
Pages1-8
Number of pages8
DOIs
StatePublished - 31 Oct 2007
EventMobiDE'07: 6th ACM International Workshop on Data Engineering for Wireless and Mobile Access - Beijing, China
Duration: 10 Jun 200710 Jun 2007

Publication series

NameInternational Workshop on Data Engineering for Wireless and Mobile Access

Conference

ConferenceMobiDE'07: 6th ACM International Workshop on Data Engineering for Wireless and Mobile Access
CountryChina
CityBeijing
Period10/06/0710/06/07

Keywords

  • Faulty readings
  • Wireless sensor networks

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