Abstract-The energy consumption into a smartphone is defined by the energy cost necessary for the components equipment to achieve their activities. This activity is induced by software executions related to users' activity. Indeed, the software produces during a given time an amount of work, (e.g. I/O access, and data encoding/decoding), that grows the number of operations over inner equipment. In other words, the energy consumption could results from the execution of the different interactions between hardware, software and users which by their behaviors trigger a workload on hardware components. The assessment and measurements of the cost of consumed energy, as well as problems in the methods used for energy optimization, are the main topic of this investigation. As results of this work, we conclude that some of the investigated techniques are more accurate than the others for tracking the main sources or equipment responsible of consuming energy.

Abstract-Energy consumption is the result of interactions between hardware, software, users, and the application environment. Optimization of energy consumption has become crucial, energy metric is considered a critical metric, so it is important knowing how to measure and understand how energy is consumed on mobile devices. Accurate knowledge will allow us to propose different 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 an application. We show in this paper how to build a simple predictive model of the energy consumption of an unconnected application based on precise measurements.

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