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

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Part of book or chapter of book 01 Sep 2014 Switzerland, Sweden Publisher:IEEEJournal:2014 26th International Teletraffic Congress (ITC)

Authors: Wac, Katarzyna; Ickin, Sélim; Zinner, Thomas; Fiedler, Markus;

doi: 10.1109/itc.2014.6932965

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

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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.

Countries

Switzerland, Sweden

Related Organizations

Keywords

Other Social Sciences not elsewhere specified, Energy, Computer Sciences, Peace and Conflict Studies, Freds- och konfliktforskning, Telekommunikation, Datavetenskap (datalogi), Wireless, Telecommunications, 025.063, Smartphone, Övrig annan samhällsvetenskap, 025.06/650, ddc: ddc:025.06/650, ddc: ddc:025.063

Impact byBIP!

	citations 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).	6
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average