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- Title
车联网场景下基于内容中心网络的优化缓存策略.
- Authors
顾金媛; 章国安; 张鸿来
- Abstract
In Internet of Vehicles (IoT), how to effectively select the cache location and content is very important for improving the overall network performance. To solve the above problems, the Content Centric Networking (CCN) technology is introduced and a new optimized caching strategy is proposed. The selection of cache location and cache content depends on Vehicle Node Value and Content Popularity (VNVCP). Firstly, three vehicle node attributes about connectivity, betweenness centrality and eigenvector centrality are defined to evaluate the vehicle node values. The vehicle nodes with different values cache the content with different popularity. The importance of content is determined by its popularity. Secondly, the proposed strategy utilizes the popularity differences of different types of content to ensure uniform distribution of cached content, and evaluates the values of vehicle nodes from multiple attributes to improve the utilization of vehicle nodes. The simulation results show that the proposed VNVCP is significantly better than traditional Leave Copy Everywhere (LCE), Prob (0. 5) and Most Popular Content (MPC) in cache hit rate, average hop count and transmission delay.
- Subjects
NETWORK performance; PROBLEM solving; POPULARITY; INTERNET of things; CENTRALITY; CACHE memory
- Publication
Telecommunication Engineering, 2023, Vol 63, Issue 6, p768
- ISSN
1001-893X
- Publication type
Article
- DOI
10.20079/j.issn.1001-893x.220214001