Task Offloading Distribution Technique Using Game Theory in a Vehicle Edge Computing Environment 


Vol. 15,  No. 3, pp. 187-194, Mar.  2026
https://doi.org/10.3745/TKIPS.2026.15.3.187


PDF
  Abstract

Recent advancements in artificial intelligence technology have led to its extensive integration in various aspects of the automotive industry. Vehicles are no longer perceived solely as means of transportation; they now play a central role in providing a multitude of services to drivers and passengers through enhanced mobility and connectivity. However, to deliver such services, substantial computing resources are required, highlighting the growing importance of cloud computing. Nevertheless, cloud computing faces challenges in ensuring Quality of Service (QoS) due to processing speed and network latency issues. In response to these challenges, the significance of Vehicle Edge Computing (VEC) and the concept of Parked Vehicle Edge Computing (PVEC) have been proposed. Parked Vehicle Edge Computing leverages the resources of parked vehicles to process tasks at the edge server. This technology harnesses the idle computing resources of parked vehicles during their downtime, thereby improving services and generating revenue. This paper introduces techniques that utilize game theory concepts such as coalition formation games, VCG mechanisms, and Shapley value to promote collaboration among parked vehicles and efficiently distribute tasks. The proposed methods effectively utilize the resources of parked vehicles in the PVEC platform, enhancing service quality and demonstrating their performance through evaluation and comparison. This suggests a novel approach to leveraging the onboard resources of parked vehicles to enhance service quality.

  Statistics
  Cite this article

[IEEE Style]

N. MyeongJoon and K. SungWook, "Task Offloading Distribution Technique Using Game Theory in a Vehicle Edge Computing Environment," The Transactions of the Korea Information Processing Society, vol. 15, no. 3, pp. 187-194, 2026. DOI: https://doi.org/10.3745/TKIPS.2026.15.3.187.

[ACM Style]

Nam MyeongJoon and Kim SungWook. 2026. Task Offloading Distribution Technique Using Game Theory in a Vehicle Edge Computing Environment. The Transactions of the Korea Information Processing Society, 15, 3, (2026), 187-194. DOI: https://doi.org/10.3745/TKIPS.2026.15.3.187.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals