Collaborative Interference Strategy for Secure Communication in Power IoT Based on Improved Genetic Algorithm

doi:10.3969/j.issn.1006-2475.2025.03.010

Abstract

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 communication between the sink nodes in the station. Secondly， since the sensor nodes are battery-powered， the secure transmission energy consumption is taken as the optimization target by considering the secure communication rate and energy consumption comprehensively. 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 consumption compared with the traditional genetic algorithm and node random selection algorithm.

Key words: cluster-based, cooperative jamming, communication physical layer security, genetic algorithm, energy-constrained

CLC Number:

TP391

MAO Jiahui1, ZHU Xueqiong2, HU Chengbo2, TANG Peiyao1. Collaborative Interference Strategy for Secure Communication in Power IoT Based on Improved Genetic Algorithm[J]. Computer and Modernization, 2025, 0(03): 66-70.

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