Communication and Vehicle Routing Optimization using Bio-Inspired Algorithm

Authors

  • Vinit Rohidas Dumbre Research student Department of Information Technology, Sanjivani College of Engineering, Kopargaon, India.
  • Madhuri Jawale Professor, Department of Information Technology, Sanjivani College of Engineering, Kopargaon
  • Nikhil S. Patankar Assistant Professor, Department of Information Technology, Sanjivani College of Engineering, Kopargaon

Keywords:

VANET, Communication Architecture, , Internet of Vehicles (IoV), Swarm Intelligence

Abstract

A dependable routing protocol for Intelligent Transportation Systems is critical for efficient communication between cars and infrastructure. Because of the high mobility and recurring topology variations of Vehicular Ad-hoc Networks (VANets), finding a linked route with acceptable latency is a significant problem with various constraints and drawbacks. To address this, we offer an efficient multimetric routing protocol for Intelligent Transportation Systems. The suggested protocol takes into account five metrics: throughput, bandwidth and end-to-end delay. The suggested strategy aims to maximize the Packet Delivery Ratio (PDR) while minimizing network delay. It seeks to find the path with the least latency, distance, and relative velocity while also providing the most bandwidth and V2V connectivity. A common Swarm Intelligence (SI) technique. Specifically, we provide a communiqué architecture for linked automobiles to share traffic flow information. The Genetic Bee Colony algorithm is proposed to allow communication between nearby vehicles and vehicle-to-nearby roadside units, vehicle routing optimization, traffic management system enhancement, and vehicle-to-vehicle (V2V) communication protocol improvement are some of the applications If traffic management is unsuccessful, there is possibility of coincidences and law infractions. Furthermore, to evaluate the efficiency of the planned strategy, it developed an agenda for modelling and simulating the road traffic structure in an IoV context.

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Published

24.03.2024

How to Cite

Dumbre , V. R. ., Jawale, M. ., & Patankar, N. S. . (2024). Communication and Vehicle Routing Optimization using Bio-Inspired Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 283–292. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5140

Issue

Vol. 12 No. 20s (2024)

Section

Research Article

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