摘要
认知无线Mesh网络中的节点能动态接入空闲频谱,然而,频谱空穴的频繁变化将导致网络路径的破坏,使得网络性能下降。提出了基于模糊推理的认知无线Mesh网络路由算法,该算法利用模糊Petri网的推理机制计算可行路径的可靠度,最终选择可靠度最高的路径和信道。仿真结果表明,认知无线Mesh网络使用推理机制的路由算法能够增加所选路由的可靠度,减少网络路径破坏数,提高网络吞吐量。
Nodes in Cognitive Wireless Mesh Network （CogWMN） can access spectrum holes dynamically. However, frequent changes of spectrum holes result in breaking the routes and degrading network performance. In this paper, a CogWMN routing algorithm based on fuzzy reasoning is proposed. The algorithm adopts reasoning mechanism of fuzzy Petri net to compute the reliabilities of available routes. Finally, the highest reliability of routes and channels are selected. The simulation results show that reasoning mechanism routing algorithm may enhance the reliabilities of selected routes. The proposed algorithm can not only decrease the number of broken routes but also improve the network throughput in CogWMN.
出处
《电讯技术》
北大核心
2009年第11期35-39,共5页
Telecommunication Engineering
基金
国家自然科学基金资助项目(608720020)
江苏省高校自然科学重大基础研究项目(07KJA51007)
江苏省教育厅"青蓝工程"项目
东南大学移动通信国家重点实验室开放研究基金项目(W200912)
