An energy efficient user context collection method for smartphones

Recently, user context information has been utilized for efficient and effective network and service management. In this situation, there is a strong need to collect user context information. One of the proprietary methods to collect user context information is to use sensors equipped inside a smartphone such as accelerometer, gyroscope, digital compass, and microphone. However, user context collection on a smartphone easily leads to rapid drain of the smartphone battery. To overcome the problem, this paper proposes a novel user context information collection model for efficient smartphone battery management. This model is based on two strategies: scheduling and dynamic sensor reconfiguration. The proposed model is implemented on Galaxy Nexus Android smartphone. The Performance evaluation shows that the proposed model reduces the energy consumption by a ratio of 42 percent compared to the current periodic sensor reading model.