摘要
在网络数据的合理动态通信节点选择的研究中,由于网络中的节点选择需要考虑负载、延时等众多属性,是一个面对多选择权判断的过程,过多约束条件很容易陷入多目标均优先的境地,存在数据流的传输质量无法保证的问题。提出用蚁群算法对网络节点选择的方法。上述方法先利用蚁群算法建立网络路由选择模型,考虑网络节点负载、路径时延等因素,利用该模型动态地对网络的路由进行优化选取,有效地提升了网络传输效率。实验结果表明,所提算法与传统网络路由选择算法相比,有效提升了网络的数据的传输质量。
The node selection needs to consider lots of properties, such as load and delay, during research on reasonable dynamic node selection of network data. It is a process of judging multiple options. Overmuch constraint conditions lead to precedence of all multi-target and result in poor transmission quality of data flow. In this paper, we propose a node selection method based on ant colony algorithm. Firstly we use ant colony algorithm to build selection model of network route. Then we optimize selection of network route dynamically using the model considering factors of network node load and path-delay. It improves the transmission efficiency effectively. The simulation results show that the proposed algorithm can improve the transmission quality of network data effectively compared with the tradi- tional network route selection algorithm.
出处
《计算机仿真》
CSCD
北大核心
2016年第9期204-207,共4页
Computer Simulation
基金
广东省石化装备故障诊断重点实验室开放基金(772715)
广东省云机器人(石油化工)工程技术研究中心开放基金(201507B05)
广东省科技计划项目(2014A020208139)
广东省科研创强重点项目(650019)
关键词
移动网络
动态规划
路由协议
Mobile network
Dynamic programming
Routing protocol