Title: An energy-efficient resource allocation algorithm for managing on-demand services in fog-enabled vehicular ad hoc networks

Authors: Md. Asif Thanedar; Sanjaya Kumar Panda

Addresses: Department of Computer Science and Engineering, National Institute of Technology Warangal, Warangal, 506004, Telangana, India ' Department of Computer Science and Engineering, National Institute of Technology Warangal, Warangal, 506004, Telangana, India

Abstract: Vehicular networks use roadside infrastructures, roadside units (RSUs) and high-power nodes (HPNs), as fog nodes (FNs) in intelligent transport systems (ITSs). However, blending fog computing (FC) in ITS can stimulate the network with latency-sensitive applications, such as self-driving, augmented reality assistance and navigation. FNs assign resource blocks (RBs) to vehicles to furnish the services. However, as the vehicles that reach the network grow, FNs' energy consumption increases. Consequently, FNs become ineffective in delivering services. Therefore, to handle this issue, we present an energy-efficient resource allocation (EERA) algorithm to harmonise RB allocation among FNs, such that the energy utilisation of FNs is reduced. EERA algorithm relocates the assigned RBs of vehicles in overlap coverage amid pairs of FNs, such that the allocated RBs of FNs are minimised. The simulation outcomes show that the proposed algorithm minimises the energy consumption of FNs up to 42.5% on average compared to the existing algorithms.

Keywords: fog computing; resource management; vehicular ad hoc networks; resource block allocation; energy consumption; resource utilisation.

DOI: 10.1504/IJWGS.2024.138596

International Journal of Web and Grid Services, 2024 Vol.20 No.2, pp.135 - 158

Received: 05 Jul 2023
Accepted: 28 Oct 2023
Published online: 14 May 2024 *

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