A Hybrid Multivariate Routing Approach for Improving Efficiency in VANETS

Document Type : Original Article

Authors

1 Associate Professor, Faculty of Computer Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran

2 Islamic Azad University, Science and Research Branch

3 Assistant Professor, Department of Electrical and Computer Engineering, Shariaty College, Technical and Vocational University (TVU), Tehran, Iran

10.48301/kssa.2024.423334.2752

Abstract

VANETs (Vehicular Ad hoc NETworks) are a specific category of wireless ad-hoc networks that make up the essential part of intelligent transportation systems, with the help of which, cars can connect and exchange information. By providing vehicle data exchange such as status, position, and speed, it is possible to detect and prevent potential threats and risks. In this paper, we have discussed about VANETs and especially their routing algorithms. Given the unique and challenging nature of vehicular networks such as speeding up and network fragmentation, efforts are being made to provide a more efficient algorithm. The proposed method uses a combination of demand-based routing and location-based routing features, as well as utilizing the features of lower network layers. That is, we have exploited the benefits of previously proposed algorithms and we have tried to remove drawbacks of them. The method has been tested and evaluated in a network simulator. Experiments were performed using number and speed manipulation of nodes, evaluating various parameters of packet delivery ratio, end-to-end latency, and the efficiency. It is shown that the proposed algorithm performs better than previously proposed ones like DSR, AODV, and OLSR in terms of end-to-end delay, packet delivery ratio, speed and effieciency.

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Articles in Press, Accepted Manuscript
Available Online from 04 February 2024
  • Receive Date: 11 November 2023
  • Revise Date: 28 December 2023
  • Accept Date: 04 February 2024