Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Minimizing communication costs in hierarchically-clustered networks of wireless sensors
Computer Networks: The International Journal of Computer and Telecommunications Networking
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
An Energy-Efficient Clustering Technique for Wireless Sensor Networks
NAS '08 Proceedings of the 2008 International Conference on Networking, Architecture, and Storage
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Improved Cluster Heads Selection Method in Wireless Sensor Networks
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
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Sensor Networks consist of massively distributed, small devices that have some limited sensing, processing, and communication capabilities. Due to the design of the topology of Sensor Networks, supporting energy-efficient routing protocol in the sensor networks is a challenging task. In this paper, we propose a Density and Distance based Cluster Head Selection (DDCHS) algorithm. The proposed algorithm divides cluster area into several perpendicular diameters, and then selects cluster head by the density of member nodes and the distance from cluster head. The simulation experiments shows that DDCHS algorithm has improves the network lifetime about 50% better than LEACH and about 10%. better than HEED. From the results, considering node density and the distance from cluster head in sensor networks can be more energ-efficient than considering only the distance between nodes in energy usage of Wireless Sensor Networks.