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Published in:
2011 | OriginalPaper | Chapter
An Incremental Power Greedy Heuristic for Strong Minimum Energy Topology in Wireless Sensor Networks
Authors : B. S. Panda, D. Pushparaj Shetty
Published in: Distributed Computing and Internet Technology
Publisher: Springer Berlin Heidelberg
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Given a set of sensors in the plane, the strong minimum energy topology ( SMET) problem is to assign transmit power to each sensor such that the resulting topology containing only bidirectional links is strongly connected. This problem is known to be NP-hard. As this problem is very much significant from application point of view, several heuristic algorithms have been proposed. In this paper, we propose a new incremental power greedy heuristic for SMET problem, called Kruskal-incremental power greedy heuristic. We compare Kruskal-incremental power greedy heuristic with Prim-incremental power greedy heuristic, one of the most popular heuristics available in the literature, through extensive simulation. The simulation results suggest that Kruskal-incremental power greedy heuristic outperforms on an average the Prim-incremental power greedy heuristic.