On the Temporal-Spatial Correlation Based Fault-Tolerant Dynamic Event Region Detection Scheme in Wireless Sensor Networks

Abstract

One of the important sensor network applications is monitoring inaccessible environments. The noisy environment and energy constraints, however, challenge the event detection problem. Most of recently proposed fault-tolerant event detection algorithms are only based on the spatial correlation. In these algorithms, the frequent exchanges of measurements among nearby sensor nodes give rise to much energy dissipation. Moreover, detection accuracy is poor at the boundary of event region and the edge of sensor networks. In this paper, we propose a temporal-spatial correlation based fault-tolerant event region detection algorithm. In order to improve the performance, both spatial correlated information and temporal correlated information are employed in the event detection. It is validated through simulations that, the proposed temporal-spatial correlation based algorithm outperforms the spatial correlation based scheme in terms of detection accuracy and energy dissipation, thus making the proposed algorithm attractive in energy-efficient event region detection applications.