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5 - On human behavior and energy efficiency

from Part I - Understanding energy consumption

Published online by Cambridge University Press:  05 August 2014

Sasu Tarkoma
Affiliation:
University of Helsinki
Matti Siekkinen
Affiliation:
Aalto University, Finland
Eemil Lagerspetz
Affiliation:
University of Helsinki
Yu Xiao
Affiliation:
Aalto University, Finland
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Summary

The smartphone is a highly integrated and complex device. Its energy efficiency can be optimized in various ways, but the charging behavior and application use pattern have a large impact on battery life and energy efficiency. This section discusses the impact of human behavior on the energy efficiency and battery life of a smartphone. It continues with the other side of the coin: how battery-awareness applications change human behavior. Finally, it lists some techniques for how to get the most of remaining battery life as a smartphone user.

Human–battery interaction

The term human–battery interaction was coined by Banerjee et al. in [1]. It refers to the different ways that the user interacts with the smartphone battery. The interactions happen in both directions with the user determining the charging patterns and power management related phone configuration, and the phone giving feedback on the battery status and power consumption.

The charging pattern of a particular user is of interest because it can give indications about whether the user in fact ever even runs out of battery. For example, a particular user may always charge the phone overnight regardless of the current battery level. The charging behavior guides the power management of the device so that it is neither too conservative nor too aggressive. Coming back to the example user who charges the phone every night, if the battery would last longer than one day with that user's typical usage, there is no need for further energy savings and, instead, more energy could be spent improving the quality of the mobile services they use.

Type
Chapter
Information
Smartphone Energy Consumption
Modeling and Optimization
, pp. 73 - 80
Publisher: Cambridge University Press
Print publication year: 2014

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References

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