Joint optimization of energy consumption and packet scheduling for mobile edge computing in cyber-physical networks

Yang, Yibo, Ma, Yongkui, Xiang, Wei, Gu, Xuemai, and Zhao, Honglin (2018) Joint optimization of energy consumption and packet scheduling for mobile edge computing in cyber-physical networks. IEEE Access, 6. pp. 15576-15586.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1109/ACCESS.2018.28...
10


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.

Item ID: 53461
Item Type: Article (Research - C1)
ISSN: 2169-3536
Keywords: mobile edge computing, offloading, energy saving, Krill herd algorithm
Date Deposited: 03 May 2018 12:15
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page