Unsupervised power profiling for mobile devices

Abstract

Today, power consumption is a main limitation for mobile phones. To minimize the power consumption of popular and traditionally power-hungry location-based services requires knowledge of how individual phone features consume power, so that those features can be utilized intelligently for optimal power savings while at the same time maintaining good quality of service. This paper proposes an unsupervised API-level method for power profiling mobile phones based on genetic algorithms. The method enables accurate profiling of the power consumption of devices and thereby provides the information needed by methods that aim to minimize the power consumption of location-based and other services. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.