Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
½Ç³»/½Ç¿Ü ÄÁÅؽºÆ® ÀüÀ̸¦ °í·ÁÇÑ ÀúÀü·Â ¼¾½Ì ¸ðµ¨ |
¿µ¹®Á¦¸ñ(English Title) |
Sensing Model for Reducing Power Consumption for Indoor/Outdoor Context Transition |
ÀúÀÚ(Author) |
±è´ö±â
¹ÚÀçÇö
ÀÌÁ¤¿ø
Deok-Ki Kim
Jae-Hyeon Park
Jung-Won Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 43 NO. 07 PP. 0763 ~ 0772 (2016. 07) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
With the spread of smartphones containing multiple on-board sensors, the market for context aware applications have grown. However, due to the limited power capacity of a smartphone, users feel discontented QoS. Additionally, context aware applications require the utilization of many forms of context and sensing information. If context transition has occurred, types of needed sensors must be changed and each sensor modules need to turn on/off. In addition, excessive sensing has been found when the context decision is ambiguous. In this paper, we focus on power consumption associated with the context transition that occurs during indoor/outdoor detection, modeling the activities of the sensor associated with these contexts. And we suggest a freezing algorithm that reduces power consumption in context transition. We experiment with a commercial application that service is indoor/outdoor location tracking, measure power consumption in context transition with and without the utilization of the proposed method. We find that proposed method reduces power consumption about 20% during context transition.
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Å°¿öµå(Keyword) |
»óȲÀÎÁö ¾îÇø®ÄÉÀ̼Ç
ÀúÀü·Â ¼¾½Ì ±â¹ý
½Ç³»/½Ç¿Ü ÀÎÁö
¸ð¹ÙÀÏ ±â±â
context aware application
low-power sensing method
indoor/outdoor detection
mobile devices
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ÆÄÀÏ÷ºÎ |
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