Edge Intelligence: A Computational Task Offloading Scheme for Dependent IoT Application-Reference-Cited by-同舟云学术

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Edge Intelligence: A Computational Task Offloading Scheme for Dependent IoT Application

Published:2022-09 Issue:9 Volume:21 Page:7222-7237
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Xiao Han¹^ORCID,Xu Changqiao¹^ORCID,Ma Yunxiao¹,Yang Shujie¹,Zhong Lujie²,Muntean Gabriel-Miro³^ORCID

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

2. Information Engineering College, Capital Normal University, Beijing, China

3. Performance Engineering Laboratory, School of Electronic Engineering, Dublin City University, Dublin 9, Ireland

Funder

National Natural Science Foundation of China

111 Project

Science Foundation Ireland (SFI)’s support

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/9882898/09733202.pdf?arnumber=9733202

Reference60 articles.

1. Online Deep Reinforcement Learning for Computation Offloading in Blockchain-Empowered Mobile Edge Computing

2. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

3. A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing

4. Resource Sharing of a Computing Access Point for Multi-User Mobile Cloud Offloading with Delay Constraints

5. Evidence-Aware Mobile Computational Offloading

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5. An amalgamated correlation and regression based feature selection with ensemble learning approach for IoT network attack detection;Internet Technology Letters;2024-07-29

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