Cluster Based Energy Efficient Optimal Relay Selection Strategy for Multi Hop Reliable Cooperative Communication in Vehicular Communication.

Due to the inherent mobility of each node in a Vehicular Network, routing is the primary concern. The mobility enhances the dynamic character of the vehicular networks, which is reflected in controlling of traffic overhead. Consequently, attaining steady end-to-end communication connections is crucial to the success of routing strategy and a kind of mobility of node data. A RCCR (Reliable Cluster based Multi Hop Cooperative Routing) technique based on velocity, distance, and connection quality was offered as a solution to these issues. This method determines the optimum network settings that balance Quality of Service (QoS) requirements with mobility restrictions. By choosing cluster heads and Multi-Point Relays (MPRs) while taking mobility restrictions and quality-of-service requirements into account, it increases the scalability of routing. Each pair of nodes' connection quality is calculated using the suggested method's combination of strength of signal and distance characteristics. To guarantee steadiness, dependability, and longevity of the route, we choose the relay cars using the greatest possible QoS value. To improve Packet Delivery Ratio (PDR) of a multi-hop network with acceptable End-to-End transmission latency, heuristic limits of multi-point relay selection approach by taking into cluster-head coverage area, account link quality, and distance from source vehicle are addressed. Additionally, we optimized and acquired the ideal number of cooperating cars in each hop in an effort to reduce total energy usage. Finally, simulation results show that suggested approach outperforms in terms of throughput, network life time, packet delivery ratio and energy consumption compared to the Cluster-based Adaptive Cooperative Algorithm (CACA), Adaptive Optimal Relay Selection (AORS) and cooperative multi-hop vehicular to vehicular (Coop V2V). Proposed approach improves the network throughput by 225% network lifetime by 40%, energy efficiency by 48.8% compared to the AORS approach. [ABSTRACT FROM AUTHOR]