数据流干扰感知路由判据的研究

针对数据流内干扰和数据流间干扰对路径性能均存在影响，在无线Mesh网中提出了一种全面考虑数据流干扰的路由判据FIA。该判据以信道为单位，对路径中每一跳的干扰邻链路数据传输量进行捕捉，以度量数据流间干扰。在此基础上，通过取路径中各信道传输时的干扰邻链路数据传输量最大值，考量路径中信道的使用情况，以综合评价数据流内干扰和数据流间干扰。将该评价结果与路径期望传输时间加权求和，实现对传输延时和数据流干扰的均衡考虑。仿真结果表明，FIA在网络吞吐量及丢包率方面的性能均较好。

Research on interference-aware routing metric

Considering that both of intra-flow and inter-flow interference have a great impact on path performance, based on wireless mesh networks, this paper proposes a routing metric FIA which is comprehensively aware of flow interference. The metric takes channel as unit and captures the transmission data size of all interfered link of each hop in path to measure the inter-flow interference. Furthermore, the metric measures the usage of each channel by getting the maximum of the interfered transmission data size to consider both of intra-flow and inter-flow interference at overall. This paper sums up the measurement result and the expected transmission time of the path with a weight for balanced to consider both of the transmission delay and flow interference. Simulation results show that the FIA performs better in terms of throughput and packet loss rate.