TY - EJOU AU - Khadir, Alla Abbas AU - Seno, Seyed Amin Hosseini AU - Dhahir, Baydaa Fadhil AU - Budiarto, Rahmat TI - Efficient-Cost Task Offloading Scheme in Fog-Internet of Vehicle Networks T2 - Computer Systems Science and Engineering PY - 2023 VL - 45 IS - 2 SN - AB - 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. KW - RoadSide parked vehicles; offloading cost; deadline; budget DO - 10.32604/csse.2023.032316