Using iBeacon Technology with Nearest Neighbor Algorithm to Area Positioning Systems

  • Chia-Hsin ChengEmail author
  • Chia-Yao Hu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 971)


With the advances in information and communication technologies, indoor Location Based Service (LBS) has been a hot topic of research. In a wireless positioning system, signals would be distorted and attenuated by the environment during the signal transmission. In the case, the distorted signals would degrade positioning accuracy. In order to reduce positioning errors due to bad signals, this paper uses a pattern matching approach to build environmental model. This method can reduce positioning error due to the unstable signals. We used iBeacon to build positioning environment in Wireless Sensor Networks. The K Nearest Neighbor (KNN) algorithm is used to compare the accuracy of area positioning with various environments.


iBeacon Positioning system Pattern matching Wireless sensor networks 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNational Formosa UniversityHuweiTaiwan

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