Abstract:In this work the authors propose a distributed algorithm for building approximate Minimum Spanning Trees (MSTs) for energy-efficient gathering and aggregation of sensed data in randomly-distributed, multi-hops, wireless sensor networks (WSNs). The MST created, obtained through global organization based on local interactions among each sensor and its neighbors, exploits an innovative joining mechanism that guarantees, at the same time, the creation of a near-optimal energy-efficient MST and the avoidance of cyc… Show more
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