Energy efficiency task scheduling for battery level‐aware mobile edge computing in heterogeneous networks-Reference-Cited by-同舟云学术

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Energy efficiency task scheduling for battery level‐aware mobile edge computing in heterogeneous networks

Published:2022-05-09 Issue:5 Volume:44 Page:746-758
ISSN:1225-6463
Container-title:ETRI Journal
language:en
Short-container-title:ETRI Journal

Author:

Xie Zhigang¹²^ORCID,Song Xin¹²^ORCID,Cao Jing²³,Xu Siyang¹²^ORCID

Affiliation:

1. College of Computer Science and Engineering Northeastern University Shenyang China

2. Engineering Optimization and Smart Antenna Research Institute Northeastern University at Qinhuangdao Qinhuangdao China

3. School of Mathematics and Information Science and Technology Hebei Normal University of Science and Technology Qinhuangdao China

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Hebei Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2021-0312

Reference26 articles.

1. An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things

2. Small-Cell Assisted Secure Traffic Offloading for Narrowband Internet of Thing (NB-IoT) Systems

3. Energy-Efficient Dynamic Computation Offloading and Cooperative Task Scheduling in Mobile Cloud Computing

4. Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network

5. Edge Computing: Vision and Challenges

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2. Efficient Scheduling of Energy-Constrained Tasks in Internet of Things Edge Computing Networks;International Journal of Swarm Intelligence Research;2024-08-07

3. Applications of Lagrangian relaxation-based algorithms to industrial scheduling problems, especially in production workshop scenarios: A review;Journal of Process Control;2024-07

4. Joint multi-server cache sharing and delay-aware task scheduling for edge-cloud collaborative computing in intelligent manufacturing;Wireless Networks;2024-05-16

5. Wireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach;HUM-CENT COMPUT INFO;2024

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