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  • 标题:Improving Energy Efficiency of Location Sensing On Mobile Phone Using Machine Learning Techniques
  • 本地全文:下载
  • 作者:D.A.Parthiban ; J.SenthilMurugan
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:2
  • DOI:10.15680/ijircce.2015.0302078
  • 出版社:S&S Publications
  • 摘要: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 Efficiencylocation tracking service that leverages the sensor hints on the android mobile phone to reduce the usage of GPS. Itexecutes a GPS sampling using the information from the acceleration and orientation sensors. Switches to the alternatelocation sensing method based on WiFi when users move indoors.. A machine learning technique, study of computeralgorithms, applying these algorithms machines improve automatically with experience used to reconstruct the routefrom the recorded location samples. Energy efficiency can significantly reduce the usage of GPS and still achieve ahigh tracking accuracy and provide storage, analysis and map visualization of routes of mobile users.
  • 关键词:GPS; WiFi;Machine Learning Techniques;Android O/S
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