TEEN: ARouting Protocol for Enhanced Efficiency in Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Mobility-aware clustering algorithms with interference constraints in wireless mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Constructing special k-dominating sets using variations on the greedy algorithm
Pervasive and Mobile Computing
Pervasive and Mobile Computing
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Increasing network lifetime, scalability and load balancing are important factors for wireless sensor networks. Clustering is a useful technique through which we can effect these factors. In this paper, we propose a new method of clustering which prolongs network lifetime by using energy, density and centrality factors and also the distances between nodes for making clusters. We assume a supervisor node for every cluster head which is to be its replacement when the cluster head fails. This property causes an increase in network lifetime and also helps the network to be fault tolerant. Simulation results demonstrate that using the proposed method offers significant improvement in clustering especially in network lifetime in comparison with the LEACH and HEED methods.