基于复杂网络内容场的ICN能效优化策略

ICN Energy Efficiency Optimization Strategy Based on Content Field of Complex Networks

目前的网络体系结构依然采用基于位置的端到端通信,随着网络数据、负载的迅速增长,由于传统的TCP/IP网络体系结构存在诸多问题(如互联网的传输效率低、实时处理数据的能力低下等),主要体现在网络的用户服务质量得不到保证、网络能耗大等方面,信息中心网络(Information-Centric Networking,ICN)将成为下一代互联网体系结构的研究热点。文中利用复杂网络对ICN进行建模,提出了一种基于内容场的能效优化策略(CFS)。该策略根据邻居节点的内容场场强大小寻找最佳路径,并利用所提的基于内容流行度的缓存策略决定是否在请求路径上进行内容缓存,缓存策略同时考虑了内容热度以及内容与用户之间的距离。仿真结果表明,与现有ICN策略相比,CFS在网络吞吐量、平均请求时延、网络平均能耗以及数据包分布情况方面都具有相对的优势,特别是当网络具有较大数据量时,该算法将优先选择距离内容近且通畅的路径,表现更加优秀。

The current network architecture still adopts end-to-end communication based on location.With the rapid growth of network data and load,there are many problems in the traditional TCP/IP network architecture, such as the low transmission efficiency of the Internet and the low ability of real-time data processing,which are mainly reflected in the lack of guaranteed quality of service for network users,large network energy consumption,etc.Information-Centric Networking (ICN) will become the research hotspot of the next generation Internet architecture.This paper used complex networks to model ICN,and proposed a content-field-based energy efficiency optimization strategy (CFS) to find the best path according to the content field strength of neighbor nodes,and decide whether to cache content on request path by using the proposed caching strategy based on content popularity.The caching strategy takes into account both the content popularity and the distance among users.The simulation results show that compared with the existing ICN strategies, CFS has relative advantages in network throughput,average request delay, average network energy consumption and data packet distribution, especially when the network has a large amount of data,because this algorithm will choice the path close to the content and with low congestion firstly,and its performance is more outstanding.