Multi-ant Colony Based QoS Networking Algorithm for Hybrid Power Line and Wireless Communication Networks

Bo Long, Fei Du, Xiongwen Zhao, Wei Bai
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Abstract

The hybrid wireless and power line communication (PLC) technology greatly improves the reliability of Power Internet of Things network (IoT) and the access ability of the terminals. However, with the development of Power IoT, the topology structure of the network becomes exceedingly complex, and the difficulty of networking is also gradually increasing. To address this issue, this paper proposes a multi-ant colony (MACS) based QoS networking algorithm for hybrid PLC and wireless communication networks. Considering the network QoS parameters and service demands, the networking algorithm constructs the fitness function to evaluate the quality of communication transmission paths, and the MACS algorithm is employed to establish the optimal relay route to complete networking. Numerical results prove that the MACS algorithm has a superior ability to jump out of local optimum than the traditional improved ant colony system (IACS) algorithm. Moreover, our proposed algorithm can construct the optimal relay route under corresponding constraints and demands according to different types of services.
基于多蚁群的电力线与无线混合通信网络QoS组网算法
无线与电力线混合通信(PLC)技术极大地提高了电力物联网的可靠性和终端的接入能力。然而,随着电力物联网的发展,网络的拓扑结构变得异常复杂,组网的难度也逐渐增加。为了解决这一问题,本文提出了一种基于多蚁群(MACS)的PLC和无线混合通信网络QoS组网算法。考虑网络QoS参数和业务需求,组网算法构建适应度函数来评价通信传输路径的质量,并采用MACS算法建立最优中继路由,完成组网。数值结果表明,MACS算法比传统的改进蚁群系统(IACS)算法具有更强的跳出局部最优的能力。此外,本文提出的算法可以根据不同的业务类型,在相应的约束条件和需求下构造最优中继路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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