计算机与现代化Issue(3)：66-70,77,6.DOI:10.3969/j.issn.1006-2475.2025.03.010
基于改进遗传算法的电力物联网安全通信协作干扰策略
Collaborative Interference Strategy for Secure Communication in Power IoT Based on Improved Genetic Algorithm
摘要
Abstract
As wireless communication is more and more widely used in power IoT,the security of wireless communication in power IoT is getting increasing attention.In power IoT,secure transmission rate and power consumption are the key factors to guarantee the security of wireless communication.In order to guarantee the security of wireless communication system in power IoT,a physical layer secure communication method based on cluster collaborative interference strategy is proposed.Firstly,in the substation scenario,the eavesdropping nodes are outside the substation for eavesdropping,and multiple sensor nodes within the cluster of aggregation nodes use the received orthogonal code pieces to assist in the interference during the mutual communi-cation between the sink nodes in the station.Secondly,since the sensor nodes are battery-powered,the secure transmission en-ergy consumption is taken as the optimization target by considering the secure communication rate and energy consumption com-prehensively.Finally,an improved genetic algorithm is used to learn an optimized collaborative jamming strategy.The simulation results show that the proposed algorithm can accelerate the convergence speed and reduce the secure transmission energy con-sumption compared with the traditional genetic algorithm and node random selection algorithm.关键词
集群/协作干扰/通信物理层安全/遗传算法/能量受限Key words
cluster-based/cooperative jamming/communication physical layer security/genetic algorithm/energy-constrained分类
计算机与自动化引用本文复制引用
毛嘉辉,朱雪琼,胡成博,唐培耀..基于改进遗传算法的电力物联网安全通信协作干扰策略[J].计算机与现代化,2025,(3):66-70,77,6.基金项目
国家电网有限公司科技项目(5108-202218280A-2-201-XG) （5108-202218280A-2-201-XG）
