基于果蝇优化算法的ICN能效优化策略  

Energy Efficiency Optimization Strategy of ICN Based on Fruit Fly Optimization Algorithm

作　　者：李昕冉 周金和[1] LI Xinran;ZHOU Jinhe(College of Information and Communication,Beijing Information Science and Technology University,Beijing 100101,China)

机构地区：[1]北京信息科技大学信息与通信工程学院,北京100101

出　　处：《计算机工程》2018年第10期147-153,共7页Computer Engineering

基　　金：国家自然科学基金(61271198);北京市自然科学基金重点项目(KZ201511232036)

摘　　要：针对信息中心网络(ICN)中路由和缓存管理算法的低能效问题,提出一种基于果蝇优化算法(FOA)的能效路由和缓存管理策略。将FOA应用到ICN的用户请求寻路过程中,根据ICN特性,使用网络能耗作为FOA算法中的味道浓度值获取最优路径。同时记录沿路请求合并节点,并通过设定缓存决定函数,以确定是否在合并节点进行缓存。仿真结果表明,与LCE、LCD以及Heuristic缓存算法相比,该算法可以减少网络能耗并迅速获取网络内缓存情况,避免大量的网络内容冗余,降低由网络设备管理引起的能耗。Aiming at the low energy efficiency problem of routing and cache management algorithm in Information-Centric Networking(ICN),an energy efficiency routing and cache management strategy based on Fruit Fly Optimization Algorithm(FOA)is proposed.Apply FOA to the ICN’s user request routing process,and according to the characteristics of ICN network,the optimal path is obtained by using network energy consumption as the flavor concentration in FOA.Record the request to merge nodes along the route and determine whether to cache the merged nodes by setting the cache decision function.Simulation results show that compared with the LCE,LCD and Heuristic cache algorithm,the algorithm can reduce the network energy consumption and quickly acquire the network cache,avoid a large number of network content redundancy,and reduce the energy consumption from network equipment management.

关 键 词：果蝇优化算法 信息中心网络 路由算法 缓存管理算法 能效 服务质量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]