Does more transmitting sensors always mean better decision fusion in censoring sensor networks with an unknown size?

Tsang Yi Wang, Jwo-Yuh Wu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper examines the impact of sensor censoring on the decision fusion performance in networks with an unknown number of sensors. In performing the decision fusion process, the fusion center applies the Chair-Varshney test; suitably modified to take account of the unknown network size. A closed-form analytical expression is derived for the error probability of the modified fusion rule. It is shown that reducing the censoring probability, i.e., allowing a greater number of sensors to transmit their decisions, does not necessarily improve the decision fusion performance. Rather, there exists a certain censoring probability threshold below which increasing the number of transmitting sensors simply incurs a greater intra-network communication overhead but without improving the global decision performance. Our findings establish that the design of energy-efficient local detection rules should commence with the censoring rate threshold. Hence, it is desirable that the value of this censoring probability threshold be known in advance. Accordingly, the present study proposes an efficient method for identifying the censoring probability threshold value and determining the corresponding local censoring rule.

Original languageEnglish
Pages (from-to)2313-2325
Number of pages13
JournalIEEE Transactions on Communications
Volume60
Issue number8
DOIs
StatePublished - 13 Jun 2012

Keywords

  • censoring sensor
  • decision fusion
  • distributed detection
  • energy efficiency
  • Sensor networks

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