一种基于粒子群优化的水声传感器网络非均匀分簇方法
An unequal clustering method based on particle swarm optimization in underwater acoustic sensor networks
投稿时间:2022-01-13  修订日期:2022-01-13
DOI:
中文关键词: 分簇  能耗优化  水声传感器网络
英文关键词: Clustering  Energy consumption optimization  Underwater acoustic sensor networks
基金项目:国家自然科学基金;中南民族大学2021年研究生学术创新基金项目
作者单位邮编
侯睿 中南民族大学 
付娟 中南民族大学 430074
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中文摘要:
      为了延长水声传感器网络的生命周期,提出了一种基于粒子群优化的非均匀分簇方法.利用粒子群算法进行迭代更新,根据簇头剩余能量、簇头到sink节点的距离以及簇头在簇间转发数据的次数动态调节簇的大小,以平衡簇头负载.在簇间传输阶段考虑簇头至sink节点整条路径能耗以及所需跳数.仿真结果表明,该方法能有效降低网络能耗.
英文摘要:
      In order to extend the life cycle of hydroacoustic sensor networks, an unequal clustering method based on particle swarm optimization is proposed. The particle swarm algorithm is used for iterative updates to dynamically adjust the cluster size based on the remaining energy of the cluster head, the distance from the cluster head to the sink node, and the number of times the cluster head forwards data between clusters to balance the cluster head load. The energy consumption of the whole path from the cluster head to the sink node and the number of hops required are considered in the inter-cluster transmission phase. Simulation results show that this method can effectively reduce the network energy consumption.
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