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A Multiple-Hop Energy Efficient Clustered Algorithm for Heterogeneous WSN

机译:异构WSN的多跳节能聚类算法

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Wireless Sensor Network (WSN) attract lots of researchers because of its potential wide applications and special challenges. Developing an energyefficient routing protocol has a significant impact on the overall lifetime and stability of the sensor network. In this paper, we propose a multiple-hop energy efficient cluster algorithm, called MHEECA, to obtain an optimal path between cluster head nods and the base station for data transmission. With the help of Energy-Distance and weighted election probabilities of each node, we select the optimal energy-balanced cluster head nod, and all the nodes organize themselves into a cluster. After receiving the information from the member nodes, each cluster head node aggregates the data and transfers it to the base station by adopting multiple-hop communication path based on Dijkstra's algorithm. Simulation results show MHEECA is more efficient to reduce and balance energy consumption and hence prolong the lifetime of WSN.
机译:无线传感器网络(WSN)由于其潜在的广泛应用和特殊挑战,吸引了大量的研究人员。 开发能量效率的路由协议对传感器网络的整体寿命和稳定性产生重大影响。 在本文中,我们提出了一种多跳节能集群算法,称为MHEECA,以获得群集头点头和基站之间的最佳路径进行数据传输。 在每个节点的能量距离和加权选举概率的帮助下,我们选择最佳能量平衡的簇头点头,所有节点都将自己组织成集群。 在从成员节点接收到信息之后,每个簇头节点通过采用基于Dijkstra算法的多跳通信路径来聚合数据并将其传送到基站。 仿真结果显示Mheeca更有效地减少和平衡能耗,因此延长了WSN的寿命。

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