Open Access

ARTICLE

Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks

Alla Abbas Khadir¹, Seyed Amin Hosseini Seno^1,2,*, Baydaa Fadhil Dhahir^2,3, Rahmat Budiarto⁴
1 Department of Electrical Power Techniques Engineering, Al-Hussain University College, Karbala, Iraq
2 Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
3 Department of Computer Science, Thi-Qar University, Thi-Qar, Iraq
4 Department of Computer Science, Mercu Buana University, Jakarta, Indonesia
* Corresponding Author: Seyed Amin Hosseini Seno. Email:

Computer Systems Science and Engineering 2023, 45(2), 2223-2234. https://doi.org/10.32604/csse.2023.032316

Received 13 May 2022; Accepted 24 June 2022; Issue published 03 November 2022

Abstract

Fog computing became a traditional OffLad Destination (OLD) to compute the offloaded tasks of the Internet of Vehicles (IoV). Nevertheless, the limited computing resources of the fog node leads to re-offload these tasks to the neighboring fog nodes or the cloud. Thus, the IoV will incur additional offloading costs. In this paper, we propose a new offloading scheme by utilizing RoadSide Parked Vehicles (RSPV) as an alternative OLD for IoV. The idle computing resources of the RSPVs can compute large tasks with low offloading costs compared with fog nodes and the cloud. Finally, a performance evaluation of the proposed scheme has been presented and discussed with other benchmark offloading schemes.

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Keywords

RoadSide parked vehicles; offloading cost; deadline; budget

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