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Clustering Routing Protocol Based on Fuzzy Inference for WSNs

机译:无线传感器网络的基于模糊推理的集群路由协议

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摘要

Consider that there is the limited energy of sensor nodes in wireless sensor network,an energy-adaptive cluster head election algorithm based on fuzzy inference system of Mamdani (CEFM) is proposed in this paper. The residual energy level of candidates, the position of candidates,the number of the neighbors and the rate of retransmission are synthetically considered together to optimize the process of cluster head in CEFM algorithm,so that the partition of cluster is more equal and reasonable. In addition,an inter-cluster multiple-hop routing is formed for communication between cluster and the base station,which can reduce the energy consumption of cluster heads. The simulation results demonstrate that the novel algorithm has better energy bal-ance and provides longer network lifetime.
机译:考虑到无线传感器网络中传感器节点的能量有限,提出了一种基于Mamdani模糊推理系统(CEFM)的能量自适应簇头选举算法。综合考虑候选者的剩余能量水平,候选者的位置,邻居数和重传率,以优化CEFM算法中的簇头过程,使簇的划分更加公平合理。另外,形成集群间多跳路由,用于集群与基站之间的通信,可以减少集群头的能耗。仿真结果表明,该算法具有更好的能量平衡,并具有更长的网络寿命。

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