Performance limit for distributed detection under correlated observations in wireless sensor networks

Ying Lin, Hao Chen

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In large-scale and dense wireless sensor networks, sensor observations often are correlated and the correlation impacts overall network performance. Another performance limiting factor comes from the non-ideal nature of the wireless links between network nodes. In this paper, we study the detection performance for a distributed detection system with dependent observations under noisy communication channels. In particular, by adopting a novel unified hierarchical independence fusion framework, we derive asymptotic performance limits in terms of error exponents by taking into account the impact of dependent observations and non-ideal channels. The error exponents are investigated under both the Bayesian and the Neyman-Person criteria. Moreover, conditions under which the detection system will result in zero error exponents are also presented in terms of channel capacity requirements.

Original languageEnglish
DOIs
StatePublished - 2012
Event2012 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2012 - Eindhoven, Netherlands
Duration: 16 Nov 201216 Nov 2012

Conference

Conference2012 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2012
Country/TerritoryNetherlands
CityEindhoven
Period16/11/1216/11/12

Keywords

  • correlated sensor observations
  • data fusion
  • distributed detection
  • error exponent
  • non-ideal channel
  • Wireless sensor networks

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