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Clustered routing protocol based on improved K-means algorithm for underwater wireless sensor networks

机译:基于改进的K-means算法的水下无线传感器网络集群路由协议

摘要

Due to the problem of balance for energy consumption in underwater wireless sensor networks (UWSNs), a cluster-based routing protocol for UWSNs based on an improved K-means algorithm was proposed. This algorithm was used for clustering in underwater sensor networks to avoid unbalanced clustering which could happen in LEACH protocol. Considering the depth of nodes and their densities around, the initial centers of clusters can be selected by the maximum distance method. The master cluster heads and the aided cluster heads can be chosen with the consideration of the residual energy of nodes, the distance between nodes and the cluster center and the distance between nodes and the base station. It can share the energy consumption reasonably. The network simulation results show that the proposed algorithm can effectively balance the energy consumption, prolong the network lifetime, and increase the amount of data transmission compared with LEACH and LEACH-L protocols.
机译:针对水下无线传感器网络(UWSN)能耗平衡的问题,提出了一种基于改进的K-means算法的基于集群的UWSN路由协议。该算法用于水下传感器网络中的聚类,以避免在LEACH协议中可能发生的不平衡聚类。考虑节点的深度及其周围的密度,可以通过最大距离法选择簇的初始中心。可以考虑节点的剩余能量,节点与群集中心之间的距离以及节点与基站之间的距离来选择主群集头和辅助群集头。可以合理分配能耗。网络仿真结果表明,与LEACH和LEACH-L协议相比,该算法可以有效地平衡能耗,延长网络寿命,增加数据传输量。

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