Constructing minimum energy mobile wireless networks
ACM SIGMOBILE Mobile Computing and Communications Review
Algorithmic aspects of topology control problems for ad hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Energy Efficient Broadcasting for Situation Awareness in Ad Hoc Networks
ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Particle Swarm Optimization Algorithm for Energy-Efficient Cluster-Based Sensor Networks
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A survey on clustering algorithms for wireless sensor networks
Computer Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
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Hexagons are an ideal shape for clustering sensor networks, for it can seamlessly divide clustered areas, and is the largest regular polygon (in terms of the number of sides) that has this property. In this paper, we analyze the benefit of subdividing a hexagonal cluster for the purpose of reducing the overall power consumption in the cluster. Assuming a spatial Poisson distribution of sensor nodes in the cluster, we propose a subdivision scheme, and perform a comprehensive analytical estimate of power savings brought about by the subdivision. The analytical results show that subdivision will yield considerable saving in overall power consumption of the cluster, and the saving is heavily dependent on the nodes' transmission range and their deployment density. The limit on the depth of subdivision is also analyzed. Simulation results are presented, and their implication discussed.