学位论文详细信息
A smartphone-based energy saving navigation system
Smartphone;Global Positioning System (GPS);Energy-saving
Pan, Chenji ; Abdelzaher ; Tarek F.
关键词: Smartphone;    Global Positioning System (GPS);    Energy-saving;   
Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/49752/Chenji_Pan.pdf?sequence=1&isAllowed=y
美国|英语
来源: The Illinois Digital Environment for Access to Learning and Scholarship
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【 摘 要 】

This thesis describes a smartphone-based vehicular GPS navigator by using an energy saving lo- cation sensing mode and it reduces navigation energy needs by more than an order of magnitude. The thesis will go over the theory and mode behind it and focus on the implementation details and the survey and user study we did during the research. Besides, the extensive work on combination between eNav and GreenGPS will also be covered in the thesis. Navigation applications be- comes the killer application with the popolarization of smartphone. However, navigation could be one of most energy consumption tasks in our smartphone since smartphone based GPS navigation applications available in the markets set the highest GPS sampling while working to guarantee the best quality of navigation. Nowadays, USB charging interface is available in most of cars and the drivers usually will keep the phone plugged-in during navigation to keep the phone have enough battery for other usages. But a charging cable may not be always available during trips, especially in hire cars or cars borrowed from friends. And according to a survey we conducted based on 500 respondents, more than 90% would like to have a energy-saving navigation application. So here we propose our eNav, a novel smartphone navigation application, which exploits phones’ local low-energy sensors like accelerometer and gyroscope to estimate the approximate location and only samples GPS data when close to the way-points in the route. Our eNav system has been implemented from scratch on Android and 33 drivers have tried it in our user study. Our evaluation shows that this approach increases battery life during navigation by more than 80%.

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