International Journal of
Computer Engineering Research

  • Abbreviation: Int. J. Comput. Eng. Res.
  • Language: English
  • ISSN: 2141-6494
  • DOI: 10.5897/IJCER
  • Start Year: 2010
  • Published Articles: 29

Full Length Research Paper

A study of indoor positioning by using trigonometric and weight centroid localization techniques

Hakan Koyuncu* and Shuang Hua Yang
Computer Science Department, Loughborough University, Loughborough, United Kingdom.
Email: [email protected]

  •  Accepted: 11 September 2011
  •  Published: 31 October 2011


An indoor positioning system was developed to provide a fast and easy determination of unknown position coordinates. Wireless sensor nodes (WSN) are employed in a test area. Trigonometry techniques were employed to determine the position of the unknown objects by employing numerical analysis techniques on received signal link quality indicator (LQI) values. The distances between the unknown object position and the WSNs are calculated by using curve fitting techniques on received LQI values. Weight centroid localization (WCL) algorithm was introduced on the results of the trigonometry techniques to improve the position accuracy. An application program (AP) was developed to control and display all the results.


Key words: Wireless sensor nodes (WSN), weight centroid localization (WCL), transmitter, receiver, received signal strengths (RSS), received signal strength indicator (RSSI), link quality indicator (LQI), application program (AP).