Fusion of threshold rules for target detection in wireless sensor networks

Authors:
Mengxia Zhu;Song Ding;Qishi Wu;R. R. Brooks;N. S. V. Rao;S. S. Iyengar
Affiliations:
Southern Illinois University, Carbondale, IL;Louisiana State University, Baton Rouge, LA;University of Memphis, Memphis, TN;Clemson University, Clemson, SC;Oak Ridge National Laboratory, Oak Ridge, TN;Louisiana State University, Baton Rouge, LA
Venue:
ACM Transactions on Sensor Networks (TOSN)
Year:
2010

Citing 4
Cited 2

Distributed Detection and Data Fusion

Distributed Detection and Data Fusion
Distributed detection in a large wireless sensor network

Information Fusion
Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks

IEEE Transactions on Signal Processing
A SURVEY OF VOID HANDLING TECHNIQUES FOR GEOGRAPHIC ROUTING IN WIRELESS NETWORKS

IEEE Communications Surveys & Tutorials

Energy-efficient coverage for target detection in wireless sensor networks

Proceedings of the 6th international conference on Information processing in sensor networks
Partial sensing coverage with connectivity in lattice wireless sensor networks

International Journal of Sensor Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a binary decision fusion rule that reaches a global decision on the presence of a target by integrating local decisions made by multiple sensors. Without requiring a priori probability of target presence, the fusion threshold bounds derived using Chebyshev's inequality ensure a higher hit rate and lower false alarm rate compared to the weighted averages of individual sensors. The Monte Carlo-based simulation results show that the proposed approach significantly improves target detection performance, and can also be used to guide the actual threshold selection in practical sensor network implementation under certain error rate constraints.