Signal strength-aware adaptive offloading for energy efficient mobile devices

Young Geun Kim, Sung Woo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

To prolong battery life of mobile devices, applications often exploit offloading techniques which run computations on remote servers. Unfortunately, the existing offloading techniques do not consider the fact that data transmission time and energy consumption of wireless network interfaces exponentially increase when signal strength decreases. In this paper, we propose an adaptive offloading technique that considers signal strength. Our technique estimates gain (reduced computation time and energy of mobile devices) and loss (increased data transmission time and energy of network interfaces) of offloading depending on signal strength. Based on the estimated gain and loss, our technique determines whether it offloads computations to a server or not. In evaluation, our proposed technique improves performance by 30.1% and saves system-wide energy consumption by 25.0%, on average, compared to the conventional offloading technique that does not consider signal strength.

Original languageEnglish
Title of host publicationISLPED 2017 - IEEE/ACM International Symposium on Low Power Electronics and Design
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509060238
DOIs
Publication statusPublished - 2017 Aug 11
Event22nd IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2017 - Taipei, Taiwan, Province of China
Duration: 2017 Jul 242017 Jul 26

Other

Other22nd IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2017
CountryTaiwan, Province of China
CityTaipei
Period17/7/2417/7/26

Keywords

  • energy management
  • mobile device
  • Offloading
  • wireless signal strength

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Kim, Y. G., & Jung, S. W. (2017). Signal strength-aware adaptive offloading for energy efficient mobile devices. In ISLPED 2017 - IEEE/ACM International Symposium on Low Power Electronics and Design [8009182] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISLPED.2017.8009182