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Published in:
2005 | OriginalPaper | Chapter
On Energy-Aware Dynamic Clustering for Hierarchical Sensor Networks
Authors : Joongheon Kim, Wonjun Lee, Eunkyo Kim, Joonmo Kim, Choonhwa Lee, Sungjin Kim, Sooyeon Kim
Published in: Embedded and Ubiquitous Computing – EUC 2005 Workshops
Publisher: Springer Berlin Heidelberg
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This paper proposes an energy-efficient nonlinear programming based dynamic clustering protocol (NLP-DC) unique to sensor networks to reduce the consumption of energy of cluster heads and to prolong the sensor network lifetime. NLP-DC must cover the entire network, which is another basic functionality of topology control. To achieve these goals, NLP-DC dynamically regulates the radius of each cluster for the purpose of minimizing energy consumption of cluster heads while the entire sensor network field is still being covered by each cluster. We verify both
energy-efficiency
and
guarantee of perfect coverage
. Through simulation results, we show that NLP-DC achieves the desired properties.