A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network
Journal article
Javed, F., Khan, Z.A., Rizwan, S., Shahzadi, S., Chaudhry, N.R. and Iqbal, M. (2023). A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network. Sensors. 23 (13), p. 5817. https://doi.org/10.3390/s23135817
Authors | Javed, F., Khan, Z.A., Rizwan, S., Shahzadi, S., Chaudhry, N.R. and Iqbal, M. |
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Abstract | The roadside unit (RSU) is one of the fundamental components in a vehicular ad hoc network (VANET), where a vehicle communicates in infrastructure mode. The RSU has multiple functions, including the sharing of emergency messages and the updating of vehicles about the traffic situation. Deploying and managing a static RSU (sRSU) requires considerable capital and operating expenditures (CAPEX and OPEX), leading to RSUs that are sparsely distributed, continuous handovers amongst RSUs, and, more importantly, frequent RSU interruptions. At present, researchers remain focused on multiple parameters in the sRSU to improve the vehicle-to-infrastructure (V2I) communication; however, in this research, the mobile RSU (mRSU), an emerging concept for sixth-generation (6G) edge computing vehicular ad hoc networks (VANETs), is proposed to improve the connectivity and efficiency of communication among V2I. In addition to this, the mRSU can serve as a computing resource for edge computing applications. This paper proposes a novel energy-efficient reservation technique for edge computing in 6G VANETs that provides an energy-efficient, reservation-based, cost-effective solution by introducing the concept of the mRSU. The simulation outcomes demonstrate that the mRSU exhibits superior performance compared to the sRSU in multiple aspects. The mRSU surpasses the sRSU with a packet delivery ratio improvement of 7.7%, a throughput increase of 5.1%, a reduction in end-to-end delay by 4.4%, and a decrease in hop count by 8.7%. The results are generated across diverse propagation models, employing realistic urban scenarios with varying packet sizes and numbers of vehicles. However, it is important to note that the enhanced performance parameters and improved connectivity with more nodes lead to a significant increase in energy consumption by 2%. |
Year | 2023 |
Journal | Sensors |
Journal citation | 23 (13), p. 5817 |
Publisher | MDPI |
ISSN | 1996-2023 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/s23135817 |
Web address (URL) | https://www.mdpi.com/1424-8220/23/13/5817 |
Publication dates | |
Online | 22 Jun 2023 |
Publication process dates | |
Accepted | 30 May 2023 |
Deposited | 27 Jun 2023 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/9451x
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