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A Multi-hop Cluster Routing Algorithm Based on Max-min Distances Method

机译:基于最大-最小距离法的多跳集群路由算法

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With the purpose of refining cluster head election and node single-hop in LEACH protocol under the environment of wireless sensor network energy heterogeneous, we propose a new routing algorithm named LEACH-3M. This algorithm generates K cluster centers spending max-min distances method which creates K clusters based on the distance from node to cluster center, selects cluster head with the principle of maximum weight, forms new cluster according to node and cluster head distance and this cluster head will be chose as next communication cluster center automatically. Constructing a chain with the shortest communication path between cluster head and SINK adopts continuous Hopfield neural network and optimizes it to make multi-hop tree clustering chain with SINK central. Through MATLAB simulation analysis, this new algorithm improves prolonging network's stability and energy equilibrium obviously compared with LEACH algorithm.
机译:为了在异构无线传感器网络能量的环境下细化LEACH协议中的簇头选举和节点单跳,我们提出了一种新的路由算法LEACH-3M。该算法生成K个聚类中心花费最大最小距离的方法,该方法基于从节点到聚类中心的距离创建K个聚类,以最大权重的原理选择聚类头,根据节点和聚类头的距离形成新的聚类将自动选择为下一个通信群集中心。构建簇头与SINK之间的通信路径最短的链采用连续Hopfield神经网络,并对其进行优化,以建立以SINK为中心的多跳树聚类链。通过MATLAB仿真分析,与LEACH算法相比,该新算法明显提高了网络的稳定性和能量平衡。

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