Topology Discovery Algorithm Based on Ant Colony Algorithm of Power Line Carrier Sensor Network

Hong Li, Chulsun Dan, Bo Huaixiang, Li Shurong
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引用次数: 1

Abstract

In order to improve communication reliability of power line carrier sensor network, a network topology dynamic discovery algorithm based on improved ant colony algorithm is proposed. The network topology discovery issue is changed into the minimum spanning tree of map by optimization strategy which based on ants’ election roads. Moreover, the idea of depth-first search is combined with to ensure the connectivity of tree. Power line attenuation and link pheromone concentration are considered when the state transition probability is calculated in ant algorithm. That is to ensure the best link can be chosen when network topology changes. The simulation showed that this topology discovery algorithm can enhance the stability of the network link, depress the end-to-end data transmission delay and ensure the reliability of the network communication.
基于蚁群算法的电力线载波传感器网络拓扑发现算法
为了提高电力线载波传感器网络的通信可靠性,提出了一种基于改进蚁群算法的网络拓扑动态发现算法。采用基于蚂蚁选择路径的优化策略,将网络拓扑发现问题转化为地图的最小生成树问题。并结合深度优先的搜索思想,保证了树的连通性。蚁群算法在计算状态转移概率时考虑了电力线衰减和链路信息素浓度。这是为了确保在网络拓扑变化时可以选择最佳链路。仿真结果表明,该拓扑发现算法可以增强网络链路的稳定性,降低端到端数据传输时延,保证网络通信的可靠性。
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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