Research Article
VEC System for Vehicle-to-Vehicle Communication Task Offloading Strategy Research
@INPROCEEDINGS{10.1007/978-3-031-67162-3_16, author={Xiang Yu and Zheyu Yu and Chi Zhang}, title={VEC System for Vehicle-to-Vehicle Communication Task Offloading Strategy Research}, proceedings={Communications and Networking. 18th EAI International Conference, ChinaCom 2023, Sanya, China, November 18--19, 2023, Proceedings}, proceedings_a={CHINACOM}, year={2024}, month={8}, keywords={VEC Task Offloading Delay Signal Strength}, doi={10.1007/978-3-031-67162-3_16} }- Xiang Yu
Zheyu Yu
Chi Zhang
Year: 2024
VEC System for Vehicle-to-Vehicle Communication Task Offloading Strategy Research
CHINACOM
Springer
DOI: 10.1007/978-3-031-67162-3_16
Abstract
In the context of Vehicle Edge Computing (VEC) systems, optimizing the long-term return of the system is crucial, taking into account factors such as transmission delay, access delay, computing delay, available computing capacity, and the heterogeneity of vehicles and tasks. This paper introduces a task offloading scheme for Vehicle-to-Vehicle (V2V) communication in VEC systems. The proposed approach involves a systematic vehicle screening process based on signal strength. Following the screening, a task offloading model, employing a Semi-Markov Decision Process (SMDP-BOVS) derived from the vehicle screening, is established. An iterative approach utilizing Bellman’s equation is then applied to approximate the optimal solution. Extensive simulations demonstrate that the algorithm model presented in this paper effectively enhances the system’s sustained reward, meeting the requirements of vehicle task offloading.
