Channel-optimized quantizers for decentralized detection in sensor networks

Bin Liu, Biao Chen

Research output: Contribution to journalArticle

49 Scopus citations

Abstract

Motivated by the delay and resource constraints omnipresent in most wireless sensor network applications, we design channel-optimized scalar quantizers for a canonical decentralized detection system. Aimed at minimizing the error probability of the fusion center output, we first establish the optimality of monotone likelihood ratio partition of the observation space for the local quantizer design. We then devise an iterative algorithm to construct distributed quantizers that are person-by-person optimal. The channel-optimized approach is shown to offer better performance compared with various alternatives. It also exhibits inherent adaptivity in resource (bit) allocation in response to varying channel conditions.

Original languageEnglish (US)
Pages (from-to)3349-3358
Number of pages10
JournalIEEE Transactions on Information Theory
Volume52
Issue number7
DOIs
StatePublished - Jul 1 2006

Keywords

  • Channel-optimized quantizer
  • Distributed detection
  • Distributed signal processing
  • Joint source-channel coding
  • Sensor networks

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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