Performance evaluation of decision fusion in wireless sensor networks

Ruixin Niu, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

For networked sensors that report binary local decisions to a fusion center, we use a fusion rule that employs the summation of these local decisions for hypothesis testing. Based on the assumption that the received signal power decays as the distance from the target increases, exact system level detection performance measures are derived analytically. The evaluation of the probability of detection involves multiple-fold integrations. Two approximations of the probability of detection, by using Binomial distribution with or without ignoring the border effect of the region of interest (ROI), are presented. It is shown that for various system parameters we have explored, the approximation that takes into account the border effect provides a very accurate estimation of the probability of detection. To achieve a better system level detection performance, the local sensor level decision threshold is chosen such that it maximizes the Kullback Leibler distance of the distributions conditioned on the two hypotheses.

Original languageEnglish (US)
Title of host publication2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-74
Number of pages6
ISBN (Print)1424403502, 9781424403509
DOIs
StatePublished - Jan 1 2006
Event2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 - Princeton, NJ, United States
Duration: Mar 22 2006Mar 24 2006

Publication series

Name2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

Other

Other2006 40th Annual Conference on Information Sciences and Systems, CISS 2006
CountryUnited States
CityPrinceton, NJ
Period3/22/063/24/06

ASJC Scopus subject areas

  • Computer Science(all)

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