Matching with contract-based resource trading in UAV-assisted MEC system

Multi-access edge computing (MEC), as a computing model that provides services on the user side, can effectively solve the problems of high delay and resource shortage in traditional cloud computing when processing massive data. However, existing edge computing resources are still limited, and diffi...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of supercomputing 2024-11, Vol.80 (17), p.25533-25562
Main Authors: Lu, Yuanfa, Lin, Ziqiong, Zhang, Wenjie, Zheng, Yifeng, Yang, Jingmin
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Compilers
Computation offloading
Computer Science
Cost analysis
Edge computing
Feasibility
Interpreters
Lagrange multiplier
Matching
Mobile computing
Processor Architectures
Programming Languages
Unmanned aerial vehicles
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Multi-access edge computing (MEC), as a computing model that provides services on the user side, can effectively solve the problems of high delay and resource shortage in traditional cloud computing when processing massive data. However, existing edge computing resources are still limited, and difficult to provide services to users in inaccessible remote areas. Considering that unmanned aerial vehicle (UAV) has the advantages of easy deployment, high flexibility and low cost, a UAV-assisted MEC hierarchical computation offloading framework is proposed. Firstly, contract theory is used to solve the information asymmetry problem between the platform and the UAV, and the UAV is encouraged to provide computing services. By analyzing the attributes and conditions of feasible contracts, the optimal contract is designed using the Lagrange multiplier method. Secondly, by constructing the preference set between UAV and mobile user (MU), a mobile user and unmanned aerial vehicle bilateral matching (MUBM) algorithm is proposed to establish the connection between user tasks and UAV computing resources. Finally, the feasibility and effectiveness of the contract were verified through experiments. The experimental results also prove the stability of the MUBM.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-024-06397-y