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Energy efficient clustering algorithm based on neighbors for wireless sensor networks
Authors:ZHOU Wei
Institution:Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China
Abstract:In this paper, an energy efficient clustering algorithm based on neighbors (EECABN) for wireless sensor networks is proposed. In the algorithm, an optimized weight of nodes is introduced to determine the priority of clustering procedure. As improvement, the weight is a measurement of energy and degree as usual, and even associates with distance from neighbors, distance to the sink node, and other factors. To prevent the low energy nodes being exhausted with energy, the strong nodes should have more opportunities to act as cluster heads during the clustering procedure. The simulation results show that the algorithm can effectively prolong whole the network lifetime. Especially at the early stage that some nodes in the network begin to die, the process can be postponed by using the algorithm.
Keywords:wireless sensor networks  clustering  weight  network lifetime  
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