Distributed inference in wireless sensor networks

Venugopal V. Veeravalli, Pramod K. Varshney

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

Statistical inference is a mature research area, but distributed inference problems that arise in the context of modern wireless sensor networks (WSNs) have new and unique features that have revitalized research in this area in recent years. The goal of this paper is to introduce the readers to these novel features and to summarize recent research developments in this area. In particular, results on distributed detection, parameter estimation and tracking in WSNs will be discussed, with a special emphasis on solutions to these inference problems that take into account the communication network connecting the sensors and the resource constraints at the sensors. This journal is

Original languageEnglish (US)
Pages (from-to)100-117
Number of pages18
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume370
Issue number1958
DOIs
StatePublished - Jan 13 2012

Keywords

  • Decentralized detection and estimation
  • Distributed detection
  • Distributed estimation
  • Target tracking

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)
  • Physics and Astronomy(all)

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