Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks in close proximity to smart mobile devices (SMDs) and contributes to energy saving compared with local computing, but resulting in increased network load and transmission latency. To investigate the tradeoff betwe...

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Veröffentlicht in:	IEEE internet of things journal Jg. 5; H. 4; S. 2633 - 2645
Hauptverfasser:	Jiao Zhang, Xiping Hu, Zhaolong Ning, Ngai, Edith C.-H, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.08.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Batteries Computation offloading Computer architecture Edge computing Electronic devices Energy conservation Energy consumption Energy management Energy transmission Energy-aware offloading Iterative methods Microprocessors Mixed integer Mobile computing mobile edge computing (MEC) Penalty function Residual energy Resource allocation Resource management Search algorithms Servers Tradeoffs Weighting Wireless networks
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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Abstract	Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks in close proximity to smart mobile devices (SMDs) and contributes to energy saving compared with local computing, but resulting in increased network load and transmission latency. To investigate the tradeoff between energy consumption and latency, we present an energy-aware offloading scheme, which jointly optimizes communication and computation resource allocation under the limited energy and sensitive latency. In this paper, single and multicell MEC network scenarios are considered at the same time. The residual energy of smart devices' battery is introduced into the definition of the weighting factor of energy consumption and latency. In terms of the mixed integer nonlinear problem for computation offloading and resource allocation, we propose an iterative search algorithm combining interior penalty function with D.C. (the difference of two convex functions/sets) programming to find the optimal solution. Numerical results show that the proposed algorithm can obtain lower total cost (i.e., the weighted sum of energy consumption and execution latency) comparing with the baseline algorithms, and the energy-aware weighting factor is of great significance to maintain the lifetime of SMDs.
AbstractList	Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks in close proximity to smart mobile devices (SMDs) and contributes to energy saving compared with local computing, but resulting in increased network load and transmission latency. To investigate the tradeoff between energy consumption and latency, we present an energy-aware offloading scheme, which jointly optimizes communication and computation resource allocation under the limited energy and sensitive latency. In this paper, single and multicell MEC network scenarios are considered at the same time. The residual energy of smart devices' battery is introduced into the definition of the weighting factor of energy consumption and latency. In terms of the mixed integer nonlinear problem for computation offloading and resource allocation, we propose an iterative search algorithm combining interior penalty function with D.C. (the difference of two convex functions/sets) programming to find the optimal solution. Numerical results show that the proposed algorithm can obtain lower total cost (i.e., the weighted sum of energy consumption and execution latency) comparing with the baseline algorithms, and the energy-aware weighting factor is of great significance to maintain the lifetime of SMDs.
Author	Ngai, Edith C.-H Li Zhou Jun Cheng Zhaolong Ning Jiao Zhang Jibo Wei Xiping Hu Bin Hu
Author_xml	– sequence: 1 surname: Jiao Zhang fullname: Jiao Zhang email: zhangjiao16@nudt.edu.cn organization: Coll. of Electron. Sci., Nat. Univ. of Defense Technol., Changsha, China – sequence: 2 surname: Xiping Hu fullname: Xiping Hu email: xp.hu@siat.ac.cn organization: Shenzhen Inst. of Adv. Technol., Shenzhen, China – sequence: 3 surname: Zhaolong Ning fullname: Zhaolong Ning email: zhaolongning@dlut.edu.cn organization: Sch. of Software, Dalian Univ. of Technol., Dalian, China – sequence: 4 givenname: Edith C.-H surname: Ngai fullname: Ngai, Edith C.-H email: edith.ngai@it.uu.se organization: Dept. of Inf. Technol., Uppsala Univ., Uppsala, Sweden – sequence: 5 surname: Li Zhou fullname: Li Zhou email: zhouli2035@nudt.edu.cn organization: Coll. of Electron. Sci., Nat. Univ. of Defense Technol., Changsha, China – sequence: 6 surname: Jibo Wei fullname: Jibo Wei email: wjbhw@nudt.edu.cn organization: Coll. of Electron. Sci., Nat. Univ. of Defense Technol., Changsha, China – sequence: 7 surname: Jun Cheng fullname: Jun Cheng email: jun.cheng@siat.ac.cn organization: Shenzhen Inst. of Adv. Technol., Shenzhen, China – sequence: 8 surname: Bin Hu fullname: Bin Hu email: bh@lzu.edu.cn organization: Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
BackLink	https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362838$$DView record from Swedish Publication Index (Uppsala universitet)
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SubjectTerms	Batteries Computation offloading Computer architecture Edge computing Electronic devices Energy conservation Energy consumption Energy management Energy transmission Energy-aware offloading Iterative methods Microprocessors Mixed integer Mobile computing mobile edge computing (MEC) Penalty function Residual energy Resource allocation Resource management Search algorithms Servers Tradeoffs Weighting Wireless networks
Title	Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks
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