【摘要】 在SEARCH路由协议中,如果当前路由处于前向避免区域,会造成频谱切换,影响网络拓扑,增加端到端延迟和能量消耗。提出基于地理位置和前向反馈的认知路由算法来解决这一问题。通过信息反馈,该算法能可靠地选择最佳下一跳路由;同时提出认知网络路由算法的评估方案。仿真表明,所提路由选择算法可以很好地降低端到端的延迟和能量消耗。更多还原

【Abstract】 In SEARCH routing protocol,when the best forward router locals in the Forward Avoidance Region,SEARCH prefers to switch from one frequency band to another,which affects networks topology and increases the end-to-end delay and energy consumption. This paper presents a new routing protocol based on geography and forward feedback to solve this serious problem. Based on the feedback information,the algorithm can select the best next hop reliably. In additional,a comprehensive routing evaluation scheme for cognitive radio is also proposed. Simulation results show that,the proposed algorithm provides better shortest path and reduces the end-to-end delay,as a result saving the global energy consumption compared to SEARCH.更多还原