Title: Measurement-based methodology for modelling the energy consumption of mobile devices

Authors: Khalil Ibrahim Hamzaoui; Mohammed Berrajaa; Mostafa Azizi; Giuseppe Lipari; Pierre Boulet

Addresses: University of Lille, CNRS, Centrale Lille, UMR 9189 – CRIStAL – Centre de Recherche en Informatique, Signal et Automatique de Lille, F-59000, Lille, France; Université Mohammed Premier, FSO Lab. LANOL, 60000, Oujda, Morocco ' Université Mohammed Premier, FSO, Lab. LANOL, 60000, Oujda, Morocco ' Université Mohammed Premier, ESTO, Lab. MATSI, 60000, Oujda, Morocco ' University of Lille, CNRS, Centrale Lille, UMR 9189 – CRIStAL – Centre de Recherche en Informatique, Signal et Automatique de Lille, F-59000, Lille, France ' University of Lille, CNRS, Centrale Lille, UMR 9189 – CRIStAL – Centre de Recherche en Informatique, Signal et Automatique de Lille, F-59000, Lille, France

Abstract: Energy consumption is the result of interactions between hardware, software, users, and the application environment. Optimisation of energy consumption has become crucial, and energy is considered a critical resource, so it is important to know and understand both how energy is measured and consumed on mobile devices. An accurate knowledge will allow us to develop efficient solutions to reduce energy consumption in order to improve the user experience. In this paper, we propose an experimental methodology to build a model of the energy consumption of mobile applications. Based on precise measurements, we elaborate predictive models of energy consumption for both unconnected and connected applications.

Keywords: mobile computing; operating system; energy consumption modelling.

DOI: 10.1504/IJRIS.2020.105007

International Journal of Reasoning-based Intelligent Systems, 2020 Vol.12 No.1, pp.4 - 16

Received: 02 Apr 2018
Accepted: 30 Apr 2019
Published online: 10 Feb 2020 *

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