Catching the download train: Energy-efficient file downloading on smartphones

Selim Ickin; Thomas Zinner; Katarzyna Wac; Markus Fiedler

doi:10.1109/ITC.2014.6932965

Catching the download train: Energy-efficient file downloading on smartphones

Selim Ickin^*, Thomas Zinner, Katarzyna Wac, Markus Fiedler

^*Corresponding author for this work

4 Citations (Scopus)

Abstract

The most energy-consuming applications in battery life-constrained smartphones are the ones that comprise data transmission, especially via the 3G interface. Scheduling download activities on smartphones is especially necessary, if there are multiple asynchronous downloads scattered over a long duration. The latter scenario highly increases the energy consumption of smartphones. In this paper, we investigate energy consumption with the focus on file downloading while scheduling multiple file downloads in two scenarios: serialized and parallel. We repeat the experiments on a single smartphone via its 3G and also via WiFi tethering via another smartphone. We assess the performance of the two scenarios via measurement of power consumption and corresponding download duration in a realistic environment.

Original language	English
Title of host publication	2014 26th International Teletraffic Congress, ITC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Publication date	2014
Article number	6932965
ISBN (Print)	9780988304505
DOIs	https://doi.org/10.1109/ITC.2014.6932965
Publication status	Published - 2014
Externally published	Yes

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Catching the download train : Energy-efficient file downloading on smartphones. / Ickin, Selim; Zinner, Thomas; Wac, Katarzyna et al.

2014 26th International Teletraffic Congress, ITC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6932965.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - The most energy-consuming applications in battery life-constrained smartphones are the ones that comprise data transmission, especially via the 3G interface. Scheduling download activities on smartphones is especially necessary, if there are multiple asynchronous downloads scattered over a long duration. The latter scenario highly increases the energy consumption of smartphones. In this paper, we investigate energy consumption with the focus on file downloading while scheduling multiple file downloads in two scenarios: serialized and parallel. We repeat the experiments on a single smartphone via its 3G and also via WiFi tethering via another smartphone. We assess the performance of the two scenarios via measurement of power consumption and corresponding download duration in a realistic environment.

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Catching the download train: Energy-efficient file downloading on smartphones

Abstract

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