文章摘要
李朋伟,孟荻,陈倩.基于粒子群算法的水声通信网络能量优化方法[J].声学技术,2020,39(6):676~681
基于粒子群算法的水声通信网络能量优化方法
Energy optimization of underwater acoustic communication network based on particle swarm algorithm
投稿时间:2020-07-31  修订日期:2020-08-15
DOI:10.16300/j.cnki.1000-3630.2020.06.004
中文关键词: 水声通信网络  能量优化  粒子群算法  节点功耗
英文关键词: underwater acoustic communication network  energy optimization  particle swarm algorithm  node power
基金项目:
作者单位E-mail
李朋伟 海军研究院, 北京 100161 13787190945@163.com 
孟荻 海军研究院, 北京 100161  
陈倩 海军研究院, 北京 100161  
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中文摘要:
      水声通信网络节点功耗是影响网络节点寿命的重要因素之一。针对水声通信网络的能量优化问题,基于网络节点发射功率与传输距离的非线性关系,结合改进的粒子群算法建立了一种能量优化方法。该方法改进了网络模型,在网络运行中根据存活节点数量和节点剩余能量的变化情况,自适应动态优化每个节点的信息传输路径。仿真结果表明,所提优化方法能有效降低网络节点总功耗,延缓首个节点的死亡,减缓网络中节点的死亡速率,也即减缓了网络有效覆盖面积随着网络运行而减小的速率。
英文摘要:
      The power consumption of underwater acoustic communication network nodes is one of the important factors that affect the life of network nodes. Aiming at the energy optimization problem of underwater acoustic communication network, an energy optimization method is proposed based on the nonlinear relationship between the transmission power and transmission distance of network nodes and combining the improved particle swarm optimization algorithm. This method improves the network model. In the network operation, according to the changes in the number of surviving nodes and the remaining energy of the nodes, the information transmission path of each node is adaptively and dynamically optimized. Simulation results show that the proposed optimization method can effectively reduce the total power consumption of network nodes, postpone the death of the first node, slow down the death rate of nodes in the network, and thus slow down the rate of the effective coverage area of the network decreasing with the operation of the network.
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