Modeling Smartphone Power

Abstract

Battery technology has not advanced rapidly enough to keep pace with the growing energy demands of today's portable electronics. Leading this critical need for energy are smartphone devices which are being deployed and adopted at an increasing rate. Developing sound energy management techniques for these devices requires a good understanding of where and how battery energy is being utilized. Power consumption modeling is therefore crucial for understanding the inner working of these devices and for developing energy-efficient software to run on them. In this work, we attempt to develop power models for Android-based smartphones. A logger application is developed to monitor users' activity and collect data related to this activity. We then utilize regression techniques and neural networks to develop power models that relate power consumption to usage behavior. We demonstrate the feasibility of applying the two approaches and provide a detailed comparison between them.