Throughput and Outage Probability-Aware Intelligent Swarm-Based Multi-Hop Selection in Vehicular Network

作     者：Kiran, Uppula Kumar, Krishan 

作者机构：Lovely Profess Univ Dept Elect & Commun Engn Jalandhar Punjab India Lovely Profess Univ Fac Sch Elect & Elect Engn Jalandhar Punjab India 

出 版 物：《CYBERNETICS AND SYSTEMS》 (控制论与系统)

年 卷 期：2024年第55卷第1期

页      面：157-183页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cooperative communication Dimension-based Cat Swarm Optimization multi-hop selection multi-objective function outage probability throughput Vehicular Ad-Hoc Networks 

摘      要：Cooperation is an emerging paradigm for improving spatial differentiation in Vehicular Ad-Hoc Networks (VANETs). Hence, many network solutions are motivated through cooperative communications for boosting VANET efficiency regarding specific network constraints like energy efficiency, network capacity, and outage probability. The main intention of this paper is to design and develop an optimization model for selecting the minimum number of multi-hops between the source and destination for the cooperative VANET networks. The first phase has a first-time slot, where a signal is transmitted by the source to the cooperative nodes (its relays) and their equivalent destination. The main problem considered here is to optimally select the number of hops or relays that are adaptable for communication, to solve the multi-objective functions concerning 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 networks-wide fairness performance and a good convergence rate.