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- Title
面向ICN 的非合作博弈优化缓存策略.
- Authors
郭建宇; 周金和
- Abstract
To solve the problem of cache distribution of information-centric network(ICN), an optimized cache strategy based on non-cooperative game algorithm is proposed. The algorithm models the ICN network into a complex network, adopts a non-cooperative game framework, and takes into account the user's quality of service(QoS). By integrating the cache node distance, energy efficiency and popularity and building a corresponding utility function for each node in the network, a distributed iterative algorithm is used to solve the Nash equilibrium solution of the non-cooperative game, and the global optimal utility function value is obtained to achieve the best cache allocation result. The simulation results show that the non-cooperative game algorithm can reduce the overall energy consumption of the network, improve the average cache hit rate, and reduce the average response hop count when the number of user requests and the popularity of the requested content increase continuously.
- Subjects
UTILITY functions; NASH equilibrium; DISTRIBUTED algorithms; QUALITY of service; ENERGY consumption; CACHE memory; POKEMON Go
- Publication
Telecommunication Engineering, 2019, Vol 59, Issue 12, p1435
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2019.12.011