基于人工蜂群算法的电力通信网路由优化仿真被引量：3

Routing optimization simulation of electric power communication network based on artificial bee colony algorithm

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摘要面对当前使用的路由优化算法受到低能耗节点影响,使网络平均剩余能量较低,导致网络节点存活数量少的问题,提出了基于人工蜂群算法的电力通信网路由优化仿真方法。通过模仿蜜蜂采蜜行为,描述电力通信网路由优化行为。对节点位置进行编码,初始化种群。利用人工蜂群算法搜索邻域,结合贪婪法则选择最优解。计算蜜蜂跟随概率,记录蜜蜂发现的最佳值,输出最优解。收集剩余的能量,避免在采集能量较少的节点产生不必要的能耗,求解得到最佳的能量路由优化路径。在基站运行过程中,动态调整基站负荷变化,避免出现负荷偏移现象。由实验结果可知,该方法平均剩余能量最高为0.67 J,节点存活数量最大为100个,有效提高了电力通信网络通信周期。 Facing the problem that the current routing optimization algorithm is affected by low-energy nodes,resulting in low average residual energy of the network and small number of network nodes,a routing optimization simulation method of electric power communication network based on artificial bee colony algorithm is proposed.The route optimization behavior of electric power communication network is described by imitating the honey collecting behavior of bees.Encode the node position and initialize the population.The artifical bee colony algorithm is used to search the neighborhood,and the greedy rule is used to select the optimal solution.Calculate the following probability of bees,record the best value found by bees,and output the optimal solution.Collect the remaining energy to avoid unnecessary energy consumption when collecting nodes with less energy.The optimal energy routing optimization path is obtained.During the operation of the base station,dynamically adjust the load change of the base station to avoid load offset.The experimental results show that the maximum average residual energy of this method is 0.67J,and the maximum number of nodes is 100,which effectively improves the commun-ication cycle of electric power communication network.

作者耿立卓郝雪刘璐林春龙高琦 GENG Lizhuo;HAO Xue;LIU Lu;LIN Chunlong;GAO Qi(Training Center of State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050023,China;Beijing Kedong Electric Power Control System Co.,Ltd.,Beijing 100192,China)

机构地区国网河北省电力有限公司培训中心北京科东电力控制系统有限责任公司

出处《电子设计工程》 2022年第24期28-32,共5页 Electronic Design Engineering

基金国网河北省电力有限公司科技项目(kj2019—075)。

关键词人工蜂群算法电力通信网路由优化动态调整 artificial bee colony algorithm electric power communication network routing optimization dynamic tuning

分类号 TN-9 [电子电信]

作者简介耿立卓(1985—),女,河北元氏人,硕士,高级工程师。研究方向:电力通信专业培训。