Energy-Efficient Online Resource Management and Allocation Optimization in Multi-User Multi-Task Mobile-Edge Computing Systems with Hybrid Energy Harvesting

Energy-Efficient Online Resource Management and Allocation Optimization in Multi-User Multi-Task Mobile-Edge Computing Systems with Hybrid Energy Harvesting

Mobile Edge Computing (MEC) has evolved into a promising technology that can relieve computing pressure on wireless devices (WDs) in the Internet of Things (IoT) by offloading computation tasks to the MEC server. Resource management and allocation are challenging because of the unpredictability of t...

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Bibliographic Details
Main Authors: Heng Zhang, Zhigang Chen, Jia Wu, Yiqing Deng, Yutong Xiao, Kanghuai Liu, Mingxuan Li
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
mobile edge computing
Internet of Things
hybrid energy harvesting
Lyapunov optimization
energy efficiency
delay
Online Access:http://www.mdpi.com/1424-8220/18/9/3140

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