摘要
为解决目前在航空自组网的研究过程中没有适用的移动模型问题,采用理论分析和实验仿真的方法,先对常用移动模型进行综述分析,在粒子群优化算法的基础上,结合AANET拓扑特点,提出一种基于PSO路径优化的移动模型,并在NS2平台上进行实验论证.研究结果表明:在节点高速运动情况下PSO模型比RWP模型更加稳定,网络吞吐量更大.该研究结果为航空自组网的研究提供模型参考与使用价值。
In order to solve the problem that current research in aviation ad-hoc network does not have applicable mobility model, this paper adopted the method of theoretical analysis and experimental simulation. First, this study summarized and analysed the commonly used mobile model, then based on the particle swarm optimization algorithm and combined with the topology characteristics of AANET to put forward a mobile model. NS2 is used to carry on the experiment, and the results show that the PSO model is more stable and larger network throughput than RWP model under the condition of node high speed movement. The research conclusion can provide model reference and using value for the research of aviation ad-hoc network.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2014年第8期1123-1127,共5页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(60939002,61151002)
中央高校基本科研业务费专项资金资助项目(110404033)
关键词
粒子群算法
航空自组网
移动自组网
节点运动模型
随机路点移动模型
群组移动模型
particle swarm optimization algorithm
aero ad-hoc network
mobile ad-hoc network
node movement model
random waypoint mobility models
group mobility models
