SMRETO: Stable Matching for Reliable and Efficient Task Offloading in Fog-Enabled IoT Networks-Reference-Cited by-同舟云学术

SMRETO: Stable Matching for Reliable and Efficient Task Offloading in Fog-Enabled IoT Networks

Published:2022 Issue: Volume:10 Page:111579-111590
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Malik Usman Mahmood¹^ORCID,Javed Muhammad Awais²^ORCID,Frnda Jaroslav³,Nedoma Jan⁴^ORCID

Affiliation:

1. Department of Computer Software Engineering, National University of Science and Technology (NUST), Islamabad, Pakistan

2. Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Islamabad, Pakistan

3. Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communication, University of Zilina, Zilina, Slovakia

4. Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic

Funder

Ministry of Education, Youth and Sports of the Czech Republic conducted by VSB-Technical University of Ostrava, Czechia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09923909.pdf?arnumber=9923909

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A many-to-many matching with externalities solution for parallel task offloading in IoT networks;Journal of King Saud University - Computer and Information Sciences;2024-09

2. Efficient content caching for 5G assisted vehicular networks;Scientific Reports;2024-02-18

3. Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks;IEEE Access;2024

4. VMAP: Matching-based Efficient Offloading in IoT-Fog Environments with Variable Resources;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

5. A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios;Sustainable Computing: Informatics and Systems;2023-04