网络数据多信道传输路径规划方法研究

发布时间：2018-06-24 14:31

本文选题：网络数据 + 联合多路由　；参考：《计算机仿真》2016年08期

【摘要】：对网络数据多信道传输路径进行合理规划,可以保障网络数据传输效率和质量。进行传输路径规划时,需要计算网络数据传输总体能耗和传输节点平均负载,对其进行寻优,而传统算法利用网络传输与网络延迟间的率失真函数关系,组件网络数据多信道传输模型,忽略了传输总体能耗和传输节点平均负载,降低了路径规划的合理性。提出一种联合多路由算法的网络数据多信道传输路径规划方法。首先先组建网络通信链路干扰图,计算出各个信道的干扰水平,依据计算的结果得到每条路由路径的信道干扰程度,计算出信道分配的权重阈值,获取干扰较小的信道集合,采用Vornon的思想计算出网络数据传输总体能耗和传输节点平均负载,采用启发式策略进行路径规划寻优,有效的完成了网络数据多信道传输路径规划。仿真结果表明,所提方法能够显著提高网络数据传输质量和效率,具有较强的实用性。
[Abstract]:The network data transmission efficiency and quality can be guaranteed by reasonable planning of network data multi-channel transmission path. When planning the transmission path, we need to calculate the total energy consumption of the network data transmission and the average load of the transmission node, and optimize it, while the traditional algorithm uses the rate-distortion function relationship between the network transmission and the network delay. Component network data multi-channel transmission model neglects the overall energy consumption and the average load of transmission nodes and reduces the rationality of path planning. This paper presents a path planning method for multichannel transmission of network data by combining multiple routing algorithms. First, the network communication link interference graph is constructed, the interference level of each channel is calculated, the channel interference degree of each routing path is obtained, the weight threshold of channel assignment is calculated, and the channel set with less interference is obtained. Vornon's idea is used to calculate the total energy consumption of network data transmission and the average load of transmission nodes, and the heuristic strategy is used to optimize the path planning, which effectively completes the path planning of multi-channel transmission of network data. Simulation results show that the proposed method can significantly improve the quality and efficiency of network data transmission, and has strong practicability.
【作者单位】：宿迁学院信息工程学院;华东师范大学计算机科学与软件工程学院;
【基金】：宿迁市科技支撑计划项目(S201411) 全国教育科学规划教育部重点课题(DCA090327) 国家自然科学基金(60702065) 江苏省社科联研究课题(15YSB-131)
【分类号】：TP393.01

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