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Type: Conference paper
Title: Optimising energy consumption heuristically on android mobile phones
Author: Bokhari, M.
Wagner, M.
Citation: Proceedings of the 2016 Genetic and Evolutionary Computation Conference (Companion), 2016 / pp.1139-1140
Publisher: ACM Press
Issue Date: 2016
ISBN: 9781450343237
Conference Name: Genetic and Evolutionary Computation Conference (GECCO) (20 Jul 2016 - 24 Jul 2016 : Denver, CO)
Statement of
Mahmoud Bokhari, Markus Wagner
Abstract: In this paper we outline our proposed framework for opti- mising energy consumption on Android mobile phones. To model the power usage, we use an event-based modelling technique. The internal battery fuel gauge chip is used to measure the amount of energy being consumed and accord- ingly the model is built on. We use the model to estimate components' energy usages. In addition, we propose the use of evolutionary computations to prolong the battery life. This can be achieved by using the power consumption model as a fitness function, re-configuring the smartphone's default settings and modifying existing code of applications.
Keywords: Power Consumption Modelling; Energy Optimisation; Ge- netic Improvement; Search Based Software Engineering.
Rights: © 2016 ACM.
RMID: 0030055687
DOI: 10.1145/2908961.2931691
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Appears in Collections:Computer Science publications

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