An overview of the TACLO model, which aims to enhance the performance of VANETs through innovative routing and clustering strategies. With the rising concern over road safety and traffic congestion, VANETs emerge as a promising solution leveraging wireless technology. However, challenges such as routing efficiency, congestion, and quality of service persist. TACLO addresses these challenges by integrating reactive routing protocols like AODV with a traffic-aware clustering process, optimizing communication reliability and resource utilization. Additionally, the model employs Lion Optimization for optimal CH selection, enhancing data collection and transfer efficiency. Through comprehensive experimentation, the routing protocol within TACLO demonstrates significant improvements in packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead compared to existing techniques. These findings underscore the effectiveness of TACLO to revolutionize VANETs, improving road safety, traffic flow, and driving experience in dynamic vehicular environments.
Traffic-Aware Clustering and Optimal CH Selection Using Lion Optimization in Vehicular Ad Hoc Networks
27.03.2025
809523 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimal Route Selection for Vehicular Adhoc Networks using Lion Algorithm
BASE | 2019
|Vehicular Ant Lion Optimization Algorithm (VALOA) for Urban Traffic Management
Springer Verlag | 2021
|An optimal path selection using lion optimization routing protocol for mobile ad-hoc network
BASE | 2020
|