The Research On The Routing Algorithm In Wireless Cognitive Network

Cognitive networks have become one of the most being concerned study points for its self-x function,As one of the applications,Cognitive radio networks also become the point for its dynamic spetrum access.As one of the important components in wireless cognitive network protocol-cognitive routing protocol will be considered especially.As far as I know, the network performance can not always arrive the best optimal object for its considering only in its network layer,so,the paper suggests the cognitive routing protocol,which breaks out the layed model, and imports cross-layered idea,which brings others'layer's information into the path selection,and realize the end to end performance improvement.The paper includes three sections, the first section includes the second and the third chapters,which specifies the architecture and key tecnologies in Cognitive networks and Cognitive radio networks,and at the time,the unicast and multicast routing protocols are included..The 2nd section studies the Spectrum stabability based Routing Algorithm(SSRA) which considers the spectrum switching times and link holding time. The section 3rd cognitive multicast routing protocol—A Self-learning Multicast Routing Algorithm for Multi-Rate Multihop Network (MMMR),which imports OODA feedback loop,considers the slef-prediction,slot effiency and real-time monitor.In a word,the paper proposes Spectrum stabability based Routing Algorithm(SSRA),which considers the spectrum switching times and spectrum holding time,utilize the matlab to simulate the SSRA.Then, I propose the Self-learning Multicast Routing Algorithm for Multi-rate Mesh Networks(MMMR),and utilizes C++ to realize it.