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A Fuzzy Based Energy-aware Clustering Architecture for Cooperative Communication in WSN

机译:无线传感器网络中基于模糊的能量感知集群协同通信架构

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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.
机译:在无线传感器网络(WSN)中,群集技术会降低能源效率和网络寿命。为了克服这个问题,本文提出了一种基于模糊的聚类架构,用于WSN中的协作通信。在这项工作中,根据剩余能量,信任度,信噪比加噪声比和负载等参数选择簇头(CH)。然后,使用基于网络编码的概率路由方案执行集群内路由。基于模糊的群集协议有助于确定加入群集的协作节点(CN)。最后,粒子群优化用于建立每个CN和CH之间的最佳路径以进行数据传输。仿真结果表明,所提出的技术提高了网络寿命和能源效率。

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