A channel access scheme for large dense packet radio networks
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
The capacity of wireless networks
IEEE Transactions on Information Theory
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Energy-based selective cluster-head rotation in wireless sensor networks
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Clustering with case-based reasoning for wireless sensor network
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Multi-level clustering architecture and protocol designs for wireless sensor networks
Proceedings of the 4th Annual International Conference on Wireless Internet
CA-MAC: context adaptive MAC protocol for wireless sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Journal of Network and Computer Applications
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Wireless sensor network consisting of a large number of small sensors is efficient in gathering data in a variety of environments. Since the sensor nodes operate on batteries, energy efficient operations are indispensable to maximize the lifetime of the network. Among the schemes proposed to improve the lifetime of the network, the cluster-based schemes aim to evenly distribute the energy consumption among all the nodes in the network. In this paper we propose an approach for finding an optimal number of clusters which allows minimal energy consumption of the network. The key idea of the proposed approach is to model the energy consumption with independent homogeneous spatial Poisson process, while considering the distribution of cluster-heads and other sensor nodes. With the number of cluster-heads obtained by the proposed approach, the energy consumption can be significantly reduced and consequently the lifetime of the sensor network is increased compared to the existing schemes. Computer simulation confirms this with practical operational environment.