摘要
受航班流驱动,民航机坪感知网络呈现节点数量多且分散、数据异构性强、网络拓扑动态变化等特点,造成负载失衡、节点资源消耗快、网络生命短等问题。借鉴网格结构思想,提出一种基于蚁群优化算法(ACO)的负载均衡机坪路由控制方法,用负载量定义启发因子,将转移概率的信息素参数进行负相关变换,实现路径传输的负载均衡,并通过部署网络节点密度来优化网络的拓扑结构。仿真结果表明,基于ACO的改进路由算法比LEACH算法在均衡网络能耗、提高数据传输率以及延长网络生命周期方面均具有优越性。
Driven by flight flow,there appear problems such as large number of scattered nodes,strong heterogeneity of data,and dynamic changes of network topology in civil aviation apron network,resulting in load unbalance,fast resource consumption and short network life.Based on the theory of grid structure,an optimized ant colony algorithm for load balance control of apron router is proposed.The heuristic factor is defined by load quantity;negatively correlated transformation is conducted to the pheromone parameter of transition probability in order to realize load balancing of path transmission.Meanwhile,the network topology is optimized by deploying network node density.Simulation results show that the routing algorithm based on ant colony optimization is superior to the original LEACH algorithm in network energy consumption balancing,data transmission rate improvement and network life cycle increasing.
作者
费春国
孟美含
FEI Chunguo;MENG Meihan(College of Electronic Information and Automation,CAUC,Tianjin 300300,China)
出处
《中国民航大学学报》
CAS
2020年第2期33-37,共5页
Journal of Civil Aviation University of China
基金
天津市教委科研计划项目(2018KJ237)
国家自然科学基金项目(U1433107)
中央高校基本科研业务费专项(3122017002)。
