Prediction based energy efficient mobile positioning

Many smartphone applications or services require position information, e.g., location based services including mobile advertisement, mobile social network, etc. In this paper, we propose a prediction based mobile positioning mechanism which utilizes history mobility information in a smartphone. The proposed solution is implemented in an Android phone and has been evaluated in real-life for a period of three months. During the evaluation period the proposed mechanism has reduced energy consumption for positioning with 60% compared to GPS positioning. The accuracy is increased by around 76% compared to network based positioning only. Thus it provides significant benefit for those location-based services which needs longer time usage but less accuracy than GPS positioning.