Distributed detection in wireless sensor networks using dynamic sensor thresholds

Priyadip Ray, Pramod K. Varshney

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

This paper presents a new approach for distributed target detection in wireless sensor networks (WSNs). Contrary to the conventional practice where every sensor uses an identical threshold for decision-making, an unequal and dynamic local sensor threshold selection scheme is proposed. This threshold selection scheme is based on a recently proposed statistical metric for multiple testing problems called the False Discovery Rate (FDR). Assuming a signal attenuation model, where the received signal power decays as the distance from the target increases, various performance indices like the system level probability of detection and the probability of false alarm are studied. Simulation results are provided to demonstrate the effectiveness of this approach.

Original languageEnglish (US)
Pages (from-to)5-12
Number of pages8
JournalInternational Journal of Distributed Sensor Networks
Volume4
Issue number1
DOIs
StatePublished - Jan 1 2008

Keywords

  • Decision Fusion
  • Distributed Detection
  • False Discovery Rate
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Distributed detection in wireless sensor networks using dynamic sensor thresholds'. Together they form a unique fingerprint.

Cite this