面向内容中心网络基于分布均匀度的蚁群路由策略

Ant colony routing strategy based on distribution uniformity degree for content centric network

面向内容中心网络,采用转发服务评价函数得到转发端口集合,结合端口集合和自适应转发策略提出一种基于分布均匀度的层次化蚁群算法,通过感知路由信息素来选择最佳路径,综合考虑收敛时间和精确性对算法进行优化。仿真实验表明,所提出算法在降低内容请求时延和均衡节点负载方面有较好的表现。

By combining port set with adaptive forwarding strategy, an ant colony algorithm based on hierarchical distribution uniformity was proposed. Through perceiving routing pheromone, the optimal path was selected. At the same time, the algorithm was optimized by considering both convergence time and precision. Simulation results show that the algorithm has better performance in terms of the delay of content request and node load balance.