基于功率约束及节点频谱选择的认知协同路由

为了提升认知无线网络的数据传输效率，优化节点能量负载，提出一种协同路由算法。基于覆盖与底层技术的协作设计一种协同网络架构，该架构针对网络频带表现多样化提供了一种新的频谱选择策略，提升频谱资源效用。结合协同网络频谱选择时的干扰特性，根据频谱、干扰和功率约束关系，提出最大化链路容量的频谱及节点功率分配方法。在协同路由设计上引入了频谱效用参数，参数的度量标准涉及节点剩余能量和链路容量，以优化路由节点能量负载和传输效率为目的。仿真对比结果表明，算法有效地利用信道接入机会进行数据转发，提高了传输效率，相比基于竞争进化算法的多播路由方法，数据包传递成功率提升了1．4％，平均网络吞吐量高出8．4％，平均节点剩余能量高出3．2％，在均衡节点负载上性能良好。

Cognitive cooperative routing based on power constraints and node select spectrum

This paper proposed a cooperative routing algorithm to enhance the efficiency of data transmission and optimize the energy load on cognitive radio network. Design of a collaborative network architecture based on collaboration between the cover technology and the underlying technology, the architecture provided a new spectrum policy choice for the network band performance diversification, to enhance the effectiveness of spectrum resources. Spectrum and node power allocation method of maximize link capacity was proposed by combining interference characteristics of collaborative network spectrum selection and according spectrum interference and power constraints. Spectrum utility parameter was introduced in collaborative routing design to optimize energy and transport efficiency of the routing nodes, while the metric parameters related to the residual energy and link capacity. Comparison simulation results show that effectively using channel access opportunities, the algorithm could improve the transmission efficiency. Compared with the multicast routing method based on the competitive evolution algorithm, the cooperative routing algorithm has advantages respectively in increasing the success rate of data package transmission by 1.4% , increasing the average internet throughput by 8.4% , and increasing the average remaining energy load by 3.2% , it also has a good performance in load balancing node.