针对能量获取无线传感器网络节点能量利用效率过低和网络无法保证持久运行的问题, 提出一种多跳WSNs分簇算法 (MHC) .对节点进行能量中性约束, 即一段时间内节点消耗的能量小于或等于从外界获取的能量, 保证整个网络的持久运行;计算最优的数据传输周期, 提高节点能量利用的效率, 最大化网络数据传输.通过模糊逻辑选择簇头, 综合节点剩余能量、节点到基站的距离和节点获取能量的速率等多种因素, 提高簇头选举的合理性.仿真结果表明, MHC算法能够保持网络持久运行, 在吞吐量和能量消耗方面的性能优于ENC、EP-LEACH算法.%To solve the problem of low energy efficiency of nodes in energy harvesting wireless sensor network and the problem that the network can not guarantee long-term operation, a multi-hop WSNs clustering algorithm (MHC) was proposed.Using energy neutral constraint on node, consumption of the energy was less than the energy obtained from the outside world.The optimal data transmission cycle was calculated and the node energy efficiency was improved, network data transmission was maximized.The fuzzy logic was used to select the cluster head, the residual energy of the node, the distance between the node and the base station and the rate at which the node obtained the energy were synthesized, which improved the rationality of cluster head election.Simulation results show that the MHC algorithm can keep the network running for a long time, and outperform the ENC and EP-LEACH algorithms in terms of network lifetime, throughput and energy consumption.
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