Research on WSN Routing Based on Pheromone Factor of Improved Ant Colony Algorithm

Su Liu, Jike Ge, W. Cheng, Chengzhi Wu, T. Hu, Haoyin Liu
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Abstract

In order to achieve the security and efficiency of data transmission in Wireless Sensor Networks(WSN), this paper improves the routing protocol based on pheromone concentration factor in ant colony algorithm. By introducing the comprehensive trust degree, this problem is transformed into a combinatorial optimization problem to balance the relationship among node trust value, node energy and link quality, so as to find the comprehensive optimal path. Unlike ordinary wireless routing protocols, this paper also takes into account the security of routing transmission, the load of the overall system, and the stability of message transmission. At the same time, in the routing maintenance part, it can also make use of the trend of trust value slowly decreasing to quickly adjust the nodes with insufficient energy or low trust in the system. Through experimental test and analysis, the improved routing protocol greatly promotes the efficiency of data transmission in WSN, thus prolonging the network life cycle.
基于改进蚁群算法信息素因子的WSN路由研究
为了实现无线传感器网络(WSN)数据传输的安全性和高效性,本文对蚁群算法中基于信息素浓度因子的路由协议进行了改进。通过引入综合信任度,将该问题转化为组合优化问题,平衡节点信任值、节点能量和链路质量之间的关系,从而找到综合最优路径。与普通的无线路由协议不同,本文还考虑了路由传输的安全性、整个系统的负载以及消息传输的稳定性。同时,在路由维护部分,还可以利用信任值缓慢下降的趋势,对系统中能量不足或信任度较低的节点进行快速调整。通过实验测试和分析,改进的路由协议极大地提高了WSN中数据传输的效率,从而延长了网络的生命周期。
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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