Distributed Detection in Wireless Sensor Networks Using Dynamic Sensor Thresholds

Authors:
Priyadip Ray;Pramod K. Varshney, Fellow, IEEE
Affiliations:
Electrical Engineering and Computer Science Department, Syracuse University, Syracuse, NY, USA;Electrical Engineering and Computer Science Department, Syracuse University, Syracuse, NY, USA
Venue:
International Journal of Distributed Sensor Networks - Selected Papers in Innovations and Real-Time Applications of Distributed Sensor Networks
Year:
2008

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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.