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基于认知无线电的QoS路由算法
引用本文:韩庆文,尚淑敏,王韬,黄宓.基于认知无线电的QoS路由算法[J].计算机应用,2011,31(2):301-303.
作者姓名:韩庆文  尚淑敏  王韬  黄宓
作者单位:1. 2. 重庆市沙坪坝区重庆大学通信工程学院
基金项目:国家自然科学基金资助项目,重庆市自然科学摹金资助项目
摘    要:一般无线网络的路由协议不适合直接应用于认知无线电网络,需要提出一个新的路由算法以满足认知无线电网络端到端的服务质量(QoS)性能。认知无线电网络中的节点可以自主地进行信道选择和频谱切换,从而最大限度地满足流量需求和避免流内竞争。结合按需路由的基本流程,在充分考虑信道容量和流内竞争所带来的干扰对路由选择的影响下,提出了适用于认知无线电网络的基于容量和干扰的路由算法。仿真结果表明,基于容量和干扰的路由算法比另两种路由算法具有更好的端到端QoS性能。

关 键 词:认知无线电网络    端到端    服务质量    流量需求    流内竞争
收稿时间:2010-08-10
修稿时间:2010-09-20

QoS routing algorithm research based on cognitive radio
HAN Qing-wen,SHANG Shu-min,WANG Tao,HUANG Mi.QoS routing algorithm research based on cognitive radio[J].journal of Computer Applications,2011,31(2):301-303.
Authors:HAN Qing-wen  SHANG Shu-min  WANG Tao  HUANG Mi
Affiliation:(College of Communication Engineering,Chongqing University,Chongqing 400044,China)
Abstract:General wireless network routing algorithms can not be directly used to cognitive radio network, therefore a new routing algorithm needs to be proposed to satisfy the end to end QoS performance in cognitive radio network. Nodes in the cognitive radio network can select channels and switch between spectrums autonomously, trying the best to meet capacity demand and avoid intra flow competition. Being combined with the basic process of on demand routing and taking full account of the influence of channel capacity and interference arising from intra flow competition on the routing selection, the routing algorithm based capacity and interference which was suitable for cognitive radio network was proposed. The experimental results show that the routing algorithm based on the capacity and interference has better end to end QoS performance compared with other two algorithms.
Keywords:cognitive radio network                                                                                                                        end-to-end                                                                                                                        Quality of Service (QoS)                                                                                                                        capacity demand                                                                                                                        intra-flow competition
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