一种联合多信道分配决策的认知Mesh系统数据传输优化算法

在认知Mesh系统进行数据传输的过程中，为了提高数据包投递成功率及网络的吞吐量，减少网络延迟时间，提出一种联合多信道分配决策的认知Mesh系统数据传输优化算法(JCWN)。针对信道的干扰问题，建立了认知Mesh系统的干扰无向图，分析节点链路的网络干扰电平。在节点的路由请求阶段通过提出基于信道干扰电平的路由指标函数，并通过权重阈值来为节点链路分配干扰较小的信道。在路由选择上，联合多路由算法计算每条路由路径的信道干扰程度，为了保障节点传输数据的成功率而选择干扰程度更小的路由。实验仿真结果表明，在数据包投递成功率上，该算法相比POC算法以及基于RL的算法提高了20%以上，在提高网络吞吐量，减少延迟时间上也表现出了更好地效果。

A cognitive mesh system data transfer optimization algorithm based on joint multi-channel allocation decisions

In the process of cognitive Mesh system for data transmissions, in order to improve the packet delivery success rate and network throughput, reduce the network delay time, a cognitive mesh system data transfer optimization based on joint multi-channel allocation decisions is proposed. According to the interference of channel problem, has established the cognitive undirected graph Mesh system interference, analysis of network node link interference level. In the node routing request stage by routing based on channel interference level index function is put forward, and through the weighted threshold to smaller channel allocation for the node link interference. On route selection, joint multiple routing algorithm to calculate each routing path channel interference degree, in order to ensure the success rate of data transmission nodes and interference degree of smaller routing. The experimental simulation results show that on the packet delivery success rate, the algorithm compared with the POC algorithm based on RL algorithm is improved by more than 20%, to improve the network throughput, reduce the delay time also showed a better effect.