Journal
COMPUTER JOURNAL
Volume 59, Issue 10, Pages 1551-1562Publisher
OXFORD UNIV PRESS
DOI: 10.1093/comjnl/bxw062
Keywords
wireless sensor networks (WSN); cooperative communication; clustering; fuzzy; particle swarm optimization (PSO); routing
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In wireless sensor networks (WSN), the clustering technique reduces energy efficiency and network lifetime. In this paper, a Fuzzy-based clustering architecture is proposed for cooperative communication in WSN in order to overcome this issue. In this work, a Cluster Head (CH) is chosen based on the parameters residual energy, trust, signal-to-interference-plus-noise ratio and load. Then, the intra-cluster routing is performed using network coding-based probabilistic routing scheme. The fuzzy-based clustering protocol helps in determining the cooperative node (CN) which joins the cluster. Finally, particle swarm optimization is used to establish the optimum path between each CN and the CH for data transmission. The simulation results show that the proposed technique enhances the network lifetime and energy efficiency.
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