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An Energy Efficiency Routing Algorithm for Wireless Sensor Network

机译:无线传感器网络的能效路由算法

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摘要

Aiming at the problem that the node energy is limited, the network cycle is short and the throughput is low in the wireless sensor network, Dynamic Routing Protocol Based on Clustering was proposed known as KACO (K-means and Ant Colony Optimal). At the beginning it employs ant colony optimal and k-means algorithm to form cluster, and the novel method which consider the energy ratio, node location and distance is used to select the cluster head. In the transmission phase, dynamic hybrid routing is adopted to create the shortest path between nodes that reducing the node energy consumption efficiency. The experimental results show that the KACO has optimal performance in terms of node energy consumption, number of transmitted packets, and life time of the network.
机译:针对无线传感器网络中节点能量有限,网络周期短,吞吐量低的问题,提出了一种基于聚类的动态路由协议KACO(K-means and Ant Colony Optimal)。首先,它采用蚁群优化和k-means算法形成聚类,并采用考虑能量比,节点位置和距离的新方法来选择聚类头。在传输阶段,采用动态混合路由创建节点之间的最短路径,从而降低了节点的能耗效率。实验结果表明,KACO在节点能耗,传输数据包数量和网络寿命方面具有最佳性能。

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