Abstract: 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.

Key words: Caching strategy, Complex networks, Content field, Information center network, Optimization of energy efficiency, Routing algorithms