Studying upper bounds on sensor network lifetime by genetic clustering

Authors:
Min Qin;Roger Zimmermann
Affiliations:
Computer Science Dept., University of Southern California, Los Angeles, CA;Computer Science Dept., University of Southern California, Los Angeles, CA
Venue:
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Year:
2005

Citing 1
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Abstract

In this paper we introduce the maximum lifetime sensor clustering (MLSC) protocol for calculating the upper bound on the lifetime of a sensor network. The new protocol can maximize the K-of-N network lifetime. Also, a novel genetic clustering algorithm is introduced to form optimal clusters. Simulation results show that our model can extend the sensor network lifetime to five times over that of existing approaches.