Abstract: Now most researches about caching decisions of CCN(Content-Centric Networking) don’t syntheticallyconsiderthese related elements such as request hot,network energy consumption,content popularity,nodes cooperation and so on.This article proposed an energy-efficient caching strategy based on coordinated caching.This strategy regards the content routers in an autonomous domain as a cooperative cache group,and divides the cache capacity of every node in collaborative cache group into two sections,one for cooperative caching content and the rest for independently caching the local most popular contents,to improve content replicas diversity in cooperative caching group and reduce duplication of content transmission,enabling to minimize network energy consumption.We established relevant energy consumption model and used an advanced genetic algorithm (GA) to solve the optimization energy problem in this cooperative cache group.The results show that the proposed strategy to contrast current strategies can effectively reduce the energy consumption of CCN,which can improve its scalability and guide the evolution and deployment of CCN.

Key words: Content-centric network,Energy consumption optimization,Cooperative caching,Genetic algorithm