Title: Optimising routing using nature inspired grasshopper algorithm to improve performance of VANETs

Authors: Abhishek Gupta; Jaspreet Singh

Addresses: Department of Computer Science and Engineering, Chandigarh University, Mohali Punjab, India ' Department of Computer Science and Engineering, Chandigarh University, Mohali Punjab, India

Abstract: The paper integrates grasshopper algorithm as a bio-inspired method to improve the performance of vehicle ad hoc networks (VANETs). VANETs are highly mobile with quick topology changes and limited communication range, with a large network architecture supported by roadside units (RSUs). Thus, the need for customised routing strategies inspires the work to present modified pairing and evaluation behaviour. A unique decision-making mechanism within the grasshopper algorithm is designed and implemented. A fitness function is introduced that takes into account energy efficiency and delay for the broadcast response to evaluate the total cost including execution and idle time. The reduction of packet transmission delay forms the primary goal. The quality of service (QoS) parameters are evaluated against state-of-art algorithms to depict its significance in addressing the current challenges. The research focuses on the application of an advanced fitness function as essential elements in VANET performance optimisation using the grasshopper algorithm.

Keywords: vehicular ad hoc network; road side units; quality of service; QoS; grasshopper algorithm; fitness function.

DOI: 10.1504/IJES.2024.144356

International Journal of Embedded Systems, 2024 Vol.17 No.3/4, pp.183 - 199

Received: 31 Jul 2023
Accepted: 10 Apr 2024
Published online: 10 Feb 2025 *