Assessing The Energy Consumption Of Smartphone Applications

Mobile devices are increasingly becoming essential in people's lives. The advancement in technology and mobility factor are allowing users to utilize mobile devices for communication, entertainment, financial planning, fitness tracking, etc. As a result, mobile applications are also becoming important factors contributing to user utility. However, battery capacity is the limiting factor impacting the quality of user experience. Hence, it is imperative to understand how much energy impact do mobile apps have on the system relative to other device activities. This thesis presents a systematic studying of the energy impact of mobile apps features. Time-series electrical current measurements are collected from 4 different modern smartphones. Statistical analysis methodologies are used to calculate the energy impact of each app feature by identifying and extracting mobile app-feature events from the overall current signal. In addition, the app overhead energy costs are also computed. Total energy consumption equations for each component is developed and an overall total energy consumption equation is presented. Minutes Lost (ML) of normal phone operations due to the energy consumption of the mobile app functionality is computed for cases where the mobile app is simulated to run on the various devices for 30 minutes. Tutela Technologies Inc. mobile app, NAT, is used for this study. NAT has two main features: QoS and Throughput. The impact of the QoS feature is indistinguishable, i.e. ML is zero, relative to other phone activities. The ML with only the TP feature enabled is on average 2.1 minutes. Enabling the GPS increases the ML on average to 11.5 minutes. Displaying the app GUI interface in addition to running the app features and enabling the GPS results in an average ML of 12.4 minutes. Amongst the various mobile app features and components studied, the GPS consumes the highest amount of energy. It is estimated that the GPS increases the ML by about 448%.