Literature Review of Energy Consumption Modeling for Mobile Devices

Abstract

The recent mobile devices consist of software and hardware components, such as screens, cameras, sensors (accelerometer, fingerprint reader, GPS …), connectivity adaptors (Bluetooth, WIFI …), different radio cells (H+, 3G, 4G, 5G…), processors with multiple cores, etc. The availability of these elements simultaneously on a given smartphone/tablet provides a rich experience for end users. However, the recent components consume a lot of energy, which severely limits the duration of their use, and reduces the autonomy of the device batteries. It is why the optimization of the energy consumption management becomes of crucial importance. However, most of the mobile applications developed so far have been designed unconsciously from their actual energy consumption and ignoring the energy bugs during the development process that could drain the battery later after deployment. Unfortunately, there are no quantitative approaches to detect specifically these energy bugs introduced in this fast-paced development process. Through this paper, we target to study and compare the different existing energy profilers for mobile devices, available in the literature. We report about the various techniques of energy consumption modelling, detecting energy bugs, and optimizing code structures with energy-saving practices.