Abstrakt

Improving Energy Efficiency of Location Sensing On Mobile Phone Using Machine Learning Techniques

D.A.Parthiban, J.SenthilMurugan

Mobile data convention over cellular networks has been significantly growing over the past years. Mobile phone is location based services using sensor set (GPS, WiFi, the acceleration sensor, the orientation sensor, etc.), consume more energy and continuously using GPS, can cause the complete battery drain within a few hours, Coverage areas of GPS are still limited that GPS typically cannot function indoors. Improving Energy Efficiency location tracking service that leverages the sensor hints on the android mobile phone to reduce the usage of GPS. It executes a GPS sampling using the information from the acceleration and orientation sensors. Switches to the alternate location sensing method based on WiFi when users move indoors.. A machine learning technique, study of computer algorithms, applying these algorithms machines improve automatically with experience used to reconstruct the route from the recorded location samples. Energy efficiency can significantly reduce the usage of GPS and still achieve a high tracking accuracy and provide storage, analysis and map visualization of routes of mobile users.