Throughput and Outage Probability-aware Intelligent Swarm-based Multi-hop Selection in Vehicular Network

Abstract

Cooperation is an emerging paradigm for improving the spatial differentiations in Vehicular Ad-Hoc Networks (VANET). Cooperative communication systems can improve the performance and spatial diversity equivalent to the multiantenna systems like Multiple-Input Multiple-Output (MIMO) systems. Additionally, these systems are more realistic for the implementation with conventional limited resources and distributed hardware. Hence, many network solutions are motivated through the cooperative communications for boosting VANET efficiency regarding specific network constraints like energy efficiency, network capacity, and outage probability. As several effective studies are discussed about VANETs integrated with cooperative communications, it suffers from some basic problems, which does not explicitly utilize. The main goal of this article is to design & develop an optimization method for selecting the minimum number of multi-hops between source and destination for the cooperative VANET network. The first phase has first time slot, where a signal is transmitted by source to the cooperative nodes (its relays) and to their equivalent destination. The main problem considered here is to optimally select the number of hops or relays that to be adaptable for communication, with the intention of solving the multi-objective function concerning with the target throughput and outage probability. The adoption of new Dimension-based Cat Swarm Optimization (D-CSO) is the main contribution here to optimally select the multi-hops among source and destination. Through the performance evaluation, it is observed that the designed model has achieved network-wide fairness performance and good convergence rate.