DocumentCode :
1016082
Title :
Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks
Author :
Katenka, Natallia ; Levina, Elizaveta ; Michailidis, George
Author_Institution :
Univ. of Michigan, Ann Arbor
Volume :
56
Issue :
1
fYear :
2008
Firstpage :
329
Lastpage :
338
Abstract :
This paper examines the problem of target detection by a wireless sensor network. Sensors acquire measurements emitted from the target that are corrupted by noise, and initially make individual decisions about the presence/absence of the target. We propose the local vote decision fusion algorithm, in which sensors first correct their decisions using decisions of neighboring sensors, and then make a collective decision as a network. An explicit formula that approximates the system´s decision threshold for a given false alarm rate is derived using limit theorems for random fields, which provides a theoretical performance guarantee for the algorithm. We examine both distance- and nearest-neighbor-based versions of the local vote algorithm for grid and random sensor deployments and show that, in many situations, for a fixed-system false alarm, the local vote correction achieves significantly higher target detection rate than decision fusion based on uncorrected decisions. The algorithm does not depend on the signal model and is shown to be robust to different types of signal decay. We also extend this framework to temporal fusion, where information becomes available over time.
Keywords :
object detection; sensor fusion; wireless sensor networks; collective decision; decision threshold; false alarm rate; limit theorems; local vote decision fusion; target detection; temporal decisions; wireless sensor networks; Acoustic sensors; Energy measurement; Monitoring; Noise measurement; Object detection; Sensor fusion; Sensor phenomena and characterization; Temperature sensors; Voting; Wireless sensor networks; Decision fusion; sensor network; target detection; temporal decisions; threshold rule;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2007.900165
Filename :
4407646
Link To Document :
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