南京邮电大学学报（自然科学版）2012，Vol.32Issue(6)：86-91,6.
基于自主蚁群算法的认知网络多约束QoS路由算法
Cognitive Networks Multi-constraint QoS Routing Algorithm Based on Autonomic Ant Colony Algorithm
摘要
Abstract
This paper focused on the study of cognitive networks (CNs) oriented multi-parameter constraint QoS routing optimization. With the foundation of CNs multi-parameter QoS routing requirement, referring to the shortcomings of basic ant colony algorithm, we bring improvements to the four aspects of pheromone initialization, pheromone evaporation factor adjustment, pheromone update method and state transition rules, and propose the CNs multi-constraint QoS routing algorithm based on autonomic ant colony (AAC ) algorithm. The simulation results show that the proposed algorithm has relatively good optimization ability and fast convergence speed, can effectively solve the multi-constraint QoS routing problem faced by CNs.关键词
认知网络/自主蚁群算法/QoS路由/费用函数Key words
cognitive networks/ autonomic ant colony algorithm/ QoS routing/ cost function分类
信息技术与安全科学引用本文复制引用
亓晋,张顺颐,孙雁飞,雷亦海..基于自主蚁群算法的认知网络多约束QoS路由算法[J].南京邮电大学学报（自然科学版）,2012,32(6):86-91,6.基金项目
国家高技术研究发展计划(863计划)(2009AA01Z212)和国家自然科学基金(61003237)资助项目 （863计划）
