基于蚁群算法的自适应QoS路由优化增强数字电视业务

双向数字电视业务的开发和发展,是广播电影电视的数字化和产业化的重要推动力量,对国家信息化、社会信息化和家庭信息化的进程发挥着重要的作用。IP网络以其技术成熟、设备稳定作为数字电视相关业务有效承载网络,如何在满足IP网络中QoS(Quality of Service)要求下进行路由选择,已成为路由算法研究的重要方向。提出一种多约束条件下的自适应蚁群算法,该算法基于目标函数的信息素分配策略来自适应地调整蚂蚁的搜索行为,使多约束QoS路由优化问题得到了很好的解决,其运用在双向数字电视机顶盒网络组件中,提高了网络系统的吞吐量和避免了拥塞。

Digital TV Business Optimized by Self-adapting QoS Routing Based on Ant Colony Optimization

Two-way digital television business is the important impetus of the broadcast Television and Film digitization and industrialization, and it is also an important driving force of China's national,social and family informationization.IP network with its mature technology,equipment stability become a good carrier of digital television services.How to conduct the routing selecting under the condition of the IP network QoS(quality of service)? It has been a significant problem in routing algorithm research.This paper proposes a self-adapting ant colony optimization under multi-restrictive condition.This algorithm can make a self-adapting adjustment of the ant's searching based on the allocation strategy of objective function's information elements,making the multi-restrictive QoS routing optimization realized.At the same time,if it is used in the two-way digital TV set-top box network,the throughput capacity of the network can be improved.