Power Measurement Technique Considering the State Changes of GPS Using Location APIs

The mobile context-aware service is performed based on the collected data from the various sensors. Additional power is consumed by the operations of the sensors which lead to the reduced battery life. So it is necessary to manage the sensors efficiently for sustainable mobile context-aware service. Among the sensors, GPS is well known as a noticeable battery hog affected by the surrounding environment. The power of the mobile device is consumed unnecessarily due to the operation of the GPS in the place where the locational data is not updated. Therefore, the efficient management of the GPS is required and analysis of the power consumption of the GPS has to be preceded. However, in the existing studies, the GPS has been analyzed with course-grained models such as ON/OFF or enabled/disabled so it is hard to get information enough to identify what the state is causing unwanted power consumption of the GSP. In this paper, we propose a technique for analyzing the power consumption of the mobile device according to fine-grained states of GPS using location APIs.