Maximized Content Offloading for Content Centric V2G Networks

With an increase in the manufacturing of Electric Vehicles (EV s), it is difficult to allocate a different IP address to each EV for content transfer in a vehicle-to-grid (V2G) network. Moreover, with increasing EV s, the network traffic load on the local area aggregator increases. In such a scenario, caching at neighboring nodes can improve network efficiency along with reducing the burden on cellular links. However, the existing Internet protocol-based communication architecture lacks in-network caching. In this paper, we propose content content-centric network based content transfer strategy for the V2G network. In particular, we use the mobility pattern of EV s to capture the inter-contact times for a pair of nodes and present a caching placement scheme to achieve maximum content offloading ratio. The formulated problem also considers the limited cache capacities of each node and is justified to be an NP-hard caching placement problem. The results section depicts that the performance evaluation of the proposal outperforms random caching and popularity-based caching strategies with respect to content offloading ratio and average access delay.