A two-level game theoretic approach for task offloading in mobile edge computing-Reference-Cited by-同舟云学术

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A two-level game theoretic approach for task offloading in mobile edge computing

Published:2024-10 Issue: Volume:136 Page:108819
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Li Fei^ORCID,Ge Erqian,Hu Wanyue,Xia Rongsheng

Publisher

Elsevier BV

Reference62 articles.

1. Task offloading and resource allocation in iot based mobile edge computing using deep learning;Abdullaev;Comput. Mater. Continua,2023

2. Edge-computing video analytics for real-time traffic monitoring in a smart city;Barthélemy;Sensors,2019

3. Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading;Bi;IEEE Trans. Wireless Commun.,2018

4. A computation offloading algorithm based on multi-objective evolutionary optimization in mobile edge computing;Chai;Eng. Appl. Artif. Intell.,2023

5. Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT;Chai;IEEE Trans. Veh. Technol.,2023

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