Fault-tolerant event region detection in wireless sensor networks using statistical hypothesis test

Donglei Caott, Beihong Jin, Jiannong Cao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Most existing algorithms for fault-tolerant event detection only assume that events are spatially, but we argue that events are usually both and temporally correlated. By examining the correlation of sensor measurements, we a detection algorithm by applying statistical test (SHT). SHT-based algorithm is more in detecting event regions, and is more energy since it avoids measurement exchanges. To the capability offault recognition, we extend based algorithm by examining both spatial and correlations of sensor measurements. The SHT-based algorithm can recognize almost faults when sensor network is densely deployed
Original languageEnglish
Title of host publication2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008
Pages533-534
Number of pages2
DOIs
Publication statusPublished - 1 Dec 2008
Event2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008 - Atlanta, GA, United States
Duration: 29 Sep 20082 Oct 2008

Publication series

NameIEEE International Conference on Mobile Ad-hoc and Sensor Systems
PublisherIEEE
ISSN (Print)2155-6806

Conference

Conference2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008
CountryUnited States
CityAtlanta, GA
Period29/09/082/10/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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