Security optimization method of high-power charging pile inter-group communication network under trusted taboo particle swarm optimization

Yigang Wang, Jianfeng Zhao
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Abstract

In order to ensure the normal operation of the communication network in the event of a small number of charging pile failures, it is necessary to establish a stable communication network between the charging pile groups. In this case, it is necessary to improve the stability and viability of the communication network between the pile groups. Based on this, this paper proposes a security optimization method for high-power inter pile communication networks under trusted tabu particle swarm optimization. Using 6LoWPAN technology to optimize the wireless communication network architecture of charging piles to reduce the probability of communication network paralysis; design a neighborhood end-to-end communication strategy, and conduct research on lightweight key management of charging piles by building a three-tier architecture for the communication environment of charging piles. The trusted taboo particle swarm optimization algorithm optimizes the security of the communication network between high-power charging piles to ensure the security of the communication network. The experimental results show that after the optimization of the proposed method, the stability and invulnerability of the communication network between the charging pile groups have been effectively improved, and the method has a high convergence speed.
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可信禁忌粒子群优化下大功率充电桩群间通信网络安全优化方法
为了保证在少量充电桩发生故障时通信网络的正常运行,有必要在充电桩群之间建立稳定的通信网络。在这种情况下,有必要提高群桩间通信网络的稳定性和生存能力。在此基础上,提出了一种基于可信禁忌粒子群优化的大功率桩间通信网络安全优化方法。采用6LoWPAN技术优化充电桩无线通信网络架构,降低通信网络瘫痪的概率;设计小区端到端通信策略,通过构建充电桩通信环境的三层架构,对充电桩轻量化密钥管理进行研究。可信禁忌粒子群优化算法对大功率充电桩间通信网络的安全性进行优化,保证通信网络的安全性。实验结果表明,本文提出的方法经过优化后,有效提高了充电桩群间通信网络的稳定性和抗毁性,且具有较快的收敛速度。
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Erratum to: On interval-valued bilevel optimization problems using upper convexificators On the conformability of regular line graphs A new modified bat algorithm for global optimization A multi-stage stochastic programming approach for an inventory-routing problem considering life cycle On characterizations of solution sets of interval-valued quasiconvex programming problems
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