Efficient Route Reliability Algorithm for Vehicular Ad Hoc Networks

Authors

  • Wajid Ali Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India
  • Shalini Z. Ninoria Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.
  • Gulista Khan Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India
  • Kamal Kumar Gola COER University, Roorkee, Uttarakhand, India

DOI:

https://doi.org/10.70917/ijcisim-2025-0017

Keywords:

VANET, Link reliability, AODV, Routing reliability

Abstract

To ensure the efficient functioning of intelligent transportation systems, it's crucial to establish reliable communication channels with vehicles and roadside units. Vehicular ad hoc networks (VANETs) offer a brilliant solution for facilitating such communication among vehicles nodes and other units. However, due to the dynamic nature of VANETs characterized by high mobility and frequent topology changes, developing a dependable routing algorithm is a significant challenge. Given the vulnerability of communication links in VANETs to disconnection, ensuring routing reliability is paramount in these dynamic networks. This paper proposed a novel reliable model for VANET aimed at facilitating dependable path finding in VANETs. Central to our approach is the concept of link reliability, which represents the probability of maintaining a continuous operational link of communication among vehicles over a specific duration. We achieve precise computation of link reliability by leveraging vehicle location, velocity, and direction data along roadways. Our proposed dependable routing protocol, AODV-R, builds upon the widely-used ad hoc on-demand distance vector (AODV) routing protocol. Simulation results demonstrate that AODV-R, while reducing routing control overhead, outperforms the standard AODV protocol for enhanced delivery ratio and reduced link failures.

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Published

2025-03-27

How to Cite

Ali, W., Ninoria, S. Z., Khan, G., & Gola, K. K. (2025). Efficient Route Reliability Algorithm for Vehicular Ad Hoc Networks . International Journal of Computer Information Systems and Industrial Management Applications, 17, 19. https://doi.org/10.70917/ijcisim-2025-0017

Issue

Section

Original Articles