Collaborative Sparse Signal Recovery in Hierarchical Wireless Sensor Networks

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Executive Summary

This paper investigates the design choices and implementation schemes for information fusion among cluster heads in a large-scale hierarchical wireless sensor network. Two main issues addressed are: whether to choose centralized processing with aid of a fusion center or decentralized collaboration among cluster heads, and for the latter choice, how to collaborate. Based on a sparse signal recovery problem arising from an environmental monitoring application, the authors propose a decentralized collaborative decision-making algorithm for cluster heads, and compare it with the centralized scheme.

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