Cluster-based Selective Cooperative Caching Strategy in Vehicular Named Data Networking

Abstract

Vehicular named data networking (VNDN) is a potential candidate to be deployed in information rich applications of vehicular communication. Due to vehicle mobility, it is difficult to construct stable and reliable connections between nodes. Consequently, VNDN is suffering low quality of experience and heavy network load in data transmission. In order to solve these problems and improve network performance, we propose a Cluster-based Selective Cooperative Caching (CSCoC) strategy in VNDN. The main idea of CSCoC is to cache popular data at a set of vehicles that may establish stable communication with others. In our strategy, cluster dividing method is used to divide vehicles and select cluster heads as caching vehicles based on their mobility patterns. To mitigate the impact from fast vehicle mobility, we design a cooperative caching strategy which allows cluster members to request and fetch data from their cluster heads. Additionally, we put forward a method of computing the local data popularity, and a cache replacement strategy based on the data popularity. Compared with existing strategies, simulation results demonstrate how CSCoC increases VNDN performance by around 70% in terms of average access delay, average hop count and cache hit ratio.