An energy aware fuzzy unequal clustering algorithm for wireless sensor networks
作者： Hakan Bagci , Adnan Yazici
DOI: 10.1109/FUZZY.2010.5584580
关键词:
摘要: In order to gather information more efficiently, wireless sensor networks (WSNs) are partitioned into clusters. The most of the proposed clustering algorithms do not consider location base station. This situation causes hot spots problem in multi-hop WSNs. Unequal mechanisms, which designed by considering station location, solve this problem. paper, we introduce a fuzzy unequal algorithm (EAUCF) aims prolong lifetime EAUCF adjusts cluster-head radius residual energy and distance parameters nodes. helps decreasing intra-cluster work nodes closer or have lower battery level. We utilize logic for handling uncertainties estimation. compare our with some popular literature, namely LEACH, CHEF EEUC, according First Node Dies (FND), Half Nodes Alive (HNA) energy-efficiency metrics. Our simulation results show that performs better than other cases. Therefore, is stable energy-efficient be utilized any real time WSN application.
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