Poster: Vehicle-Edge Server Collaborative Task Offloading for UAVs: A Game Theoretic Approach

This paper proposes a strategy for offloading unmanned aerial vehicles (UAVs) tasks to electric vehicles and edge servers using a Stackelberg game model. We introduce a suitability score that considers distance, resource availability, and battery level to select the most suitable nodes for offloading UAV tasks. Simulation results demonstrate that the proposed scheme outperforms existing methods in terms of energy consumption and utility for UAVs.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3666025.3699405
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Poster: Vehicle-Edge Server Collaborative Task Offloading for UAVs: A Game Theoretic Approach

Jihyun Park, Shinyoung Cho, Anna Cho, SuKyoung Lee
UAV Applications and Optimization
article

Poster: Vehicle-Edge Server Collaborative Task Offloading for UAVs: A Game Theoretic Approach

Jihyun Park, Shinyoung Cho, Anna Cho, SuKyoung Lee
article en

Abstract

This paper proposes a strategy for offloading unmanned aerial vehicles (UAVs) tasks to electric vehicles and edge servers using a Stackelberg game model. We introduce a suitability score that considers distance, resource availability, and battery level to select the most suitable nodes for offloading UAV tasks. Simulation results demonstrate that the proposed scheme outperforms existing methods in terms of energy consumption and utility for UAVs.

Yonsei University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 70%
UAV Applications and Optimization
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