Energy-Efficient Decentralized Event Detection in Large-Scale Wireless Sensor Networks

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Executive Summary

This paper addresses the problem of decentralized event detection in large-scale Wireless Sensor Networks (WSNs). Comparing with centralized or hierarchical solutions, decentralized algorithms are superior in scalability and robustness. However, traditional decentralized optimization tools, such as consensus optimization, requires intensive information exchange of high-dimensional decision vectors and multipliers. This paper exploits the phenomenon of limited influence; namely, the influence of one event only influences its neighboring area. This fact enables sensors to make decisions individually other than for the whole network, hence alleviates the burden of communications. An optimal solution based on the Alternating Direction Method of Multipliers (ADMM) is developed.

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