Paper Contents
Abstract
A new vehicle technology for communication called VANET requires the establishment of a secure and safe traffic system. VANET performance is adversely affected by a number of issues, including dynamic network topology, highly mobile nodes, infrastructure-less networks, etc. A vital component of any communication is routing. As a result, a large number of routing protocols have been created, aiding in VANET performance improvement. The opportunistic routing protocols are the most reliable of all for a variety of applications. Moreover, a lot of optimization techniques are used at present to improve routing protocol efficiency. This paper discusses the implementation of the MAC-independent Opportunistic Routing and Encoding (MORE) protocol and the Extremely Opportunistic Routing (ExOR) protocol. Ant Colony Optimization is a swarm intelligence-based optimization technique. Both of the MAC-independent Opportunistic Routing and Encoding (MORE) protocol and the Extremely Opportunistic Routing (ExOR) protocol have been simulated with and without optimization. The average packet delivery ratio, end-to-end delay, throughput, routing overhead, packet loss, and other metrics are used to assess and compare the performances of the MAC-independent Opportunistic Routing and Encoding (MORE) protocol and the Extremely Opportunistic Routing (ExOR) protocol, both with and without optimization. Network Simulator 2 has been used for all of the simulation. The results demonstrate how the ACO technique enhances the effectiveness of the VANET's Extremely Opportunistic Routing (ExOR) protocols. Additionally, the Extremely Opportunistic Routing (ExOR) protocol exhibits encouraging outcomes.
Copyright
Copyright © 2023 D. Devi Aruna. This is an open access article distributed under the Creative Commons Attribution License.
