认知网络中基于无性繁殖优化的组播路由算法

为了保证网络用户的服务质量，认知网络与可信网络从提高网络的智能性与可信性方面提供了保证机制.基于人工免疫系统的智能化特征，在认知网络架构的基础上，提出了一种基于无性繁殖优化的可信QoS组播路由算法.该算法将免疫器官的功能集成在网络节点中，使其具备认知能力.同时，采用滑动窗口思想设计信任评价机制，对每个网络节点的行为记录进行信任评价.根据无性繁殖优化机制，基于用户满意度和节点的信任值进行路由选择，得到满足用户服务质量需求的可信路由最优解.最后，在仿真平台上将该组播路由算法与经典组播路由算法进行性能评价，结果表明，该算法能够为网络用户提供更好的服务质量.

Multicast Routing Algorithm Based on the Asexual Propagation Optimization in Cognitive Networks

In order to improve the quality of service for network users, the cognitive network and the trusted network provide guarantee mechanisms with intelligence and credibility. On the basis of the intelligent characteristics of artificial immune system, a trusted QoS multicast routing algorithm is proposed based on the asexual propagation optimization under the framework of the cognitive network using technologies of the trusted network. Meanwhile, the sliding window method is used to design the trust evaluation mechanism. It records and evaluates the behavior of each network node in order to keep the credibility of the network. According to the optimization mechanism of asexual propagation, the routing selection is based on the user satisfaction and node trust value, and the optimal solution which satisfies the QoS for users is obtained. Finally, the performances of the proposed multicast routing algorithm and classical multicast routing algorithms are evaluated on the simulation platform. The results show that the trusted QoS routing mechanism can provide better quality of service for network users than the other ones.