Left-Right-Front Caching Strategy for Vehicular Networks in ICN-Based Internet of Things

In Vehicular Ad-hoc Networks (VANET), vehicles act like mobile nodes for fetching, sharing, and disseminating important information related to vehicle safety, warning messages, emergency events, passenger infotainment. Due continuous sharing of with their surrounding nodes, Road Side Units (RSUs), infrastructures, the existing host-centric IP-based network cannot fulfill requirements VANETs. Therefore, Information Centric Networking (ICN) architectures are introduced comprehensively address problems Internet Things (IoT)-based VANETs, known as VANET-IoT. This paper introduces a new ICN-based proactive left-right-front (LRF) caching strategy which maximizes performance VANETs by placing content proactively at right nodes. The proposed also provides mechanism timely dissemination safety-related messages. LRF is compared other strategies in NS-3 simulator, outperforms those schemes terms cache utilization, hop ratios, resolved interest ratios respect 100 MB, 500 1 GB sizes.