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Oxford Brookes University: RADAR
Conference object . 2018
License: CC BY NC ND
https://doi.org/10.1109/ithing...
Article . 2017 . Peer-reviewed
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Conference object . 2023
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Saving Energy in Mobile Devices Using Mobile Device Cloudlet in Mobile Edge Computing for 5G

Authors: Sigwele, Tshiamo; Pillai, Prashant; Hu, Yim-Fun;

Saving Energy in Mobile Devices Using Mobile Device Cloudlet in Mobile Edge Computing for 5G

Abstract

In the future, the next generation cellular networks like fifth generation (5G) will comprise of billions of devices with various applications running on the devices. These applications are computer intensive and drain a lot of battery when executed in the mobile device itself. Mobile Edge Computing (MEC) has been proposed to solve these problems by offloading computation tasks of an application to the edge server in the radio access network (RAN). The conventional MEC framework suffer greater delays which is not suitable for 5G. In this paper, a new MEC framework in heterogeneous networks (HetNet) called MECH is proposed where a mobile device with limited resources has an option of offloading some of its tasks to a group of nearby mobile devices while considering the transmission power, quality of service (QoS) and state of charge (SoC) of the mobile battery. The simulation results demonstrates that the proposed framework extend battery life and reduces delays compared to the traditional MEC paradigm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
Green