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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。
The more serious network congestion exists in the network communication in remote areas, leading to the problem of low success rate in the transmission of information data, the location characteristics of nodes moving in the network, the design of improved forms of delay interrupt tolerance using ant colony algorithm Network System (DTN), and based on its design routing congestion control protocol. By using the factor parameters used in the ant colony algorithm, several times of data transmission and communication between the same source and target nodes are performed, and the average number of hops of different system nodes is obtained along the transmission path of the data so as to realize the system node transit Then, based on the heuristic parameter of ant colony algorithm, the evaluation value of the system node relay is associated with the remaining storage capacity to form the evaluation coefficient of the transit system node, and the system node of the maximum evaluation coefficient is used to perform the task transit. Simulation results show that the proposed method can improve congestion transmission efficiency by about 17% and transmission data success rate by 14% compared with similar algorithms.