Energy Efficient Computation Offloading Mechanism in Multi-Server Mobile Edge Computing—An Integer Linear Optimization Approach
Conserving energy resources and enhancing computation capability have been the key design challenges in the era of the Internet of Things (IoT). The recent development of energy harvesting (EH) and Mobile Edge Computing (MEC) technologies have been recognized as promising techniques for tackling suc...
Main Authors: | Prince Waqas Khan, Khizar Abbas, Hadil Shaiba, Ammar Muthanna, Abdelrahman Abuarqoub, Mashael Khayyat |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/6/1010 |
Similar Items
-
Two-Stage Computation Offloading Scheduling Algorithm for Energy-Harvesting Mobile Edge Computing
by: Laihyuk Park, et al.
Published: (2019-11-01) -
An Efficient Computation Offloading Strategy with Mobile Edge Computing for IoT
by: Juan Fang, et al.
Published: (2021-02-01) -
Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks
by: Liang Huang, et al.
Published: (2019-03-01) -
Efficient Multi-Player Computation Offloading for VR Edge-Cloud Computing Systems
by: Abdullah Alshahrani, et al.
Published: (2020-08-01) -
Users' experience matter: Delay sensitivity-aware computation offloading in mobile edge computing
by: Mingzhi Wang, et al.
Published: (2022-12-01)