Paper Info
Title
Joint Optimization of Energy Consumption and Packet Scheduling for Mobile Edge Computing in Cyber-Physical Networks.
Abstract
Due to advances in Internet of Things (IoT) technologies, mobile devices have become an inseparable part of human life.The limited executing capabilities of mobile devices along with constrained energy remain barriers in front of this expectation. To address these challenges, Mobile Edge Computing (MEC) is considered a promising computing model to offer computing ability to mobile users in fifth-generation (5G) networks. In this paper, we jointly create an optimization problem to minimize the combination of energy cost and packet congestion. By adopting a Promoted-by-probability (PBP) scheme, we efficiently control packet congestion of different priority packets transmitted to MEC. An improved krill herd metaheuristic optimization algorithm is presented to obtain optimal results for minimizing the total overhead of MEC in terms of energy consumption and queuing congestion. The evaluation study demonstrates that our proposal performs efficiently in terms of energy consumption and execution delay.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2810115
IEEE ACCESS
Keywords
Field
DocType
Mobile edge computing,offloading,energy saving,Krill herd algorithm
Computer science,Network packet,Server,Computer network,Cyber-physical system,Mobile edge computing,Mobile device,Queueing theory,Energy consumption,Optimization problem,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yang Yibo1126.48
Yongkui Ma2488.93
Wei Xiang3106.66
Xuemai Gu48427.15
Honglin Zhao552.15