한국컴퓨터정보학회:학술대회논문집 (Proceedings of the Korean Society of Computer Information Conference)

한국컴퓨터정보학회 (Korean Society of Computer Information)
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Indoor Zone Detection based on Bluetooth Low Energy

  • Frisancho, Jorge (Department of Computer Engineering, Chungnam National University) ;
  • Lee, Jemin (Department of Computer Engineering, Chungnam National University) ;
  • Kim, Hyungshin (Department of Computer Engineering, Chungnam National University)
  • 발행 : 2015.07.08
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초록

Location awareness is an important capability for mobile-based indoor services. Those indoor services have motivated the implementation of methods that need high computational load cost and complex mechanisms for positioning prediction. These mechanisms, such as opportunistic sensing and machine learning, require more energy consumption to achieve accuracy. In this paper, we propose the Bluetooth Low Energy indoor zone detection (BLEIZOD) technique. This method exploits the concept of proximity zone to reduce the load cost and complexity. Our proposed method implements the received signal strength indicator (RSSI) function more effectively to gain accuracy and reduce energy consumption.

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