Article: UAV-assisted computing offloading and resource allocation based on Stackelberg game in vehicular edge computing Journal: International Journal of Vehicle Information and Communication Systems (IJVICS) 2025 Vol.10 No.1 pp.20 - 42 Abstract: Owing to the computational density and complexity of vehicle applications, unique vehicle mobility and limited edge server resources, Vehicle Edge Computing (VEC) faces significant challenges. Unmanned Aerial Vehicles (UAVs) are considered an important integrated part of extending the reach of edge computing and providing computing resources. In order to achieve efficient and reliable service and resource utilisation, we investigate UAV-assisted vehicle edge computational offloading and resource allocation mechanisms. The computing offload, migration and security models are analysed. A Stackelberg game model is constructed, iteratively analysing the interaction among the VEC servers, UAVs and VUs (VUs) to obtain an appropriate computational offloading and resource allocation scheme. Based on this, we propose an Improved Stackelberg Game Algorithm (ISGA) to optimise computational offloading and resource allocation. The simulation results show that the proposed algorithm is feasible and performs competitively compared to other methods. Inderscience Publishers - linking academia, business and industry through research

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Title: UAV-assisted computing offloading and resource allocation based on Stackelberg game in vehicular edge computing

Authors: Yuhang Jiang; Zhiyong Wu; Xiuwei Hu; Yilong Sun; Yunhui Zheng

Addresses: School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China ' School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China ' School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China ' School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China ' School of Computer Science and Technology, Shandong University of Technology, Zibo, Shandong, China

Abstract: Owing to the computational density and complexity of vehicle applications, unique vehicle mobility and limited edge server resources, Vehicle Edge Computing (VEC) faces significant challenges. Unmanned Aerial Vehicles (UAVs) are considered an important integrated part of extending the reach of edge computing and providing computing resources. In order to achieve efficient and reliable service and resource utilisation, we investigate UAV-assisted vehicle edge computational offloading and resource allocation mechanisms. The computing offload, migration and security models are analysed. A Stackelberg game model is constructed, iteratively analysing the interaction among the VEC servers, UAVs and VUs (VUs) to obtain an appropriate computational offloading and resource allocation scheme. Based on this, we propose an Improved Stackelberg Game Algorithm (ISGA) to optimise computational offloading and resource allocation. The simulation results show that the proposed algorithm is feasible and performs competitively compared to other methods.

Keywords: resource allocation; vehicle edge computing; UAV; Stackelberg game.

DOI: 10.1504/IJVICS.2025.144090

International Journal of Vehicle Information and Communication Systems, 2025 Vol.10 No.1, pp.20 - 42

Received: 25 Sep 2023
Accepted: 14 May 2024
Published online: 27 Jan 2025 *

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Title: UAV-assisted computing offloading and resource allocation based on Stackelberg game in vehicular edge computing

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