Title: Energy-efficient cluster-based routing in VANET assisted by hybrid jellyfish and beluga optimisation and fault tolerance

Authors: R.K. Mahesh; Shivkumar S. Jawaligi

Addresses: Department of Electronics and Communication Engineering, Faculty of Engineering and Technology (Co-Ed.), Sharnbasva University, Kalaburagi, Karnataka, India ' Department of Electronics and Communication Engineering, Faculty of Engineering and Technology (Co-Ed.), Sharnbasva University, Kalaburagi, Karnataka, India

Abstract: VANET clustering solves scalability issues while fortifying the network and extending its lifespan. The following phases are included in the developed work on Energy-Efficient Cluster-based Routing (EECR) and Fuzzy-Topsis (FT) in VANET: Cluster head selection, routing and fault tolerance are the first three. Initially, the Hybrid Shuffled Shepherd Namib Beetle Optimisation Algorithm (HSS-NBO) method, which is centred on the prior work, is used to pick the cluster heads. Then, using the created Combined Jellyfish Beluga Whale Optimisation (CJ-BWO) model, routing is done as efficiently as possible while taking into account limitations such as security, trust, delay, quality of service, energy and connection quality (RSSI). Then, as a prerequisite for energy-efficient processing, the intermediate node forwarding mechanism is applied for void handling. In case of occurring faults, it is tolerated by initially detecting the faults and then proposing a recovery phase with a proxy agent Road Side Unit (RSU) deployed.

Keywords: VANET; quality of service; fault tolerance; recovery phase; CJ-BWO algorithm.

DOI: 10.1504/IJVAS.2025.143024

International Journal of Vehicle Autonomous Systems, 2025 Vol.18 No.1, pp.1 - 30

Received: 08 Aug 2023
Accepted: 19 Apr 2024
Published online: 02 Dec 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article