Distributed detection in wireless sensor networks using dynamic sensor thresholds

Priyadip Ray, Pramod K. Varshney

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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
Issue number1
StatePublished - Jan 2008


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

ASJC Scopus subject areas

  • General Engineering
  • Computer Networks and Communications


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