高性能蚁群DTN拥塞路由控制策略  

High Performance Ant Colony DTN Congestion Routing Control Strategy

作　　者：罗拥华[1] 邬家炜[1] 

机构地区：[1]广东农工商职业技术学院计算机系,广州510507

出　　处：《控制工程》2017年第8期1690-1695,共6页Control Engineering of China

摘　　要：对于地理位置偏远地区的网络通信存在的较严重的网络堵塞,导致信息数据传输过程中成功率偏低的问题,综合节点在网络中移动的位置性特征,利用蚁群算法设计改进形式的延迟中断容忍网系统(DTN),并基于其设计路由的拥塞控制协议。利用蚁群算法中用到的因子参数,对相同的源与目标节点间执行数次的数据传输与交流,沿数据的传输路径,得到不同系统节点跳数中转平均值,以实现对系统节点中转过程进行评估;然后,基于蚁群算法的启发参量,对系统节点中转评估值同剩余存储容量进行关联,形成中转系统节点评价系数,选用最大评价系数系统节点进行任务中转。仿真数据表明,所设计方法与类似算法相比,约提高17%的拥塞传输效率和14%的传输数据成功率。For the problem that the success rate of network communication in remote areas is low in the process of information data transmission, and the location of the nodes in the network is mobile, so here the ant colony algorithm is used to design the improved form of delay/disruption tolerant network （DTN）, based on which its routing congestion control protocol is designed. Using the factor parameters of ant colony algorithm, the data transmission and communication between the same source and target nodes are executed several times, and the average value is obtained by using the transmission path of data; Then, based on the heuristic parameters of ant colony algorithm, the node relay evaluation value of the system is associated with the capacity of storage, and the evaluation coefficient is formed. Simulation data shows that the proposed method improves the congestion transmission efficiency by about 17 % and the success rate by about 14 %.

关 键 词：蚁群算法 路由机制 拥塞控制 源节点 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]