计算机工程与应用2017，Vol.53Issue(1)：107-112,6.DOI:10.3778/j.issn.1002-8331.1604-0176
采用角度因子的蚁群优化多路径路由算法
Ant colony optimization multipath routing algorithm adopted angle factor
摘要
Abstract
To balance energy consumption and improve the reliability of data transmission, the Ant Colony Optimization MultiPath routing algorithm(ACOMP)adopted angle factor is proposed. Firstly, using a node deployment strategy based on descending density, an attempt is made to avoid energy hotspots by applying the optimized ant colony algorithm to search multipath. During the search process, the between-nodes angle factor appropriately guides the path direction. Then, based on the real-time energy of selected multiple paths, a multipath decision model is established that guides the source node to select the currently best-performing path and conducts reliable data transmission. Meanwhile, to avoid routing voids, a repair ant is defined and combined with the feedback mechanism to ensure that paths remain open. The simula-tion results show that the proposed algorithm can realize energy-efficient and reliable routes, which helps to balance the energy consumption of the network.关键词
无线传感器网络/蚁群优化/角度因子/多路径/路由空洞Key words
wireless sensor network/ant colony optimization/angle factor/multipath/routing void分类
信息技术与安全科学引用本文复制引用
侯梦婷,赵作鹏,高萌,张娜娜..采用角度因子的蚁群优化多路径路由算法[J].计算机工程与应用,2017,53(1):107-112,6.基金项目
中央高校基本科研业务费专项资金（No.2014QNB25）。 （）
