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Performance Analysis of Indoor Localization Algorithm Using Virtual Access Points in Wi-Fi Environment

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초록

In recent years, indoor localization has been researched for the improvement of its localization accuracy capability in Wi-Fi environment. The fingerprint and RF propagation models has been the main approach in determining indoor positioning. With the use of fingerprint, a low-cost, versatile localization system can be achieved without the use of external hardware. However, only a few research have been made on virtual access points (VAPs) among indoor localization models. In this paper, the idea of indoor localization system using fingerprint with the addition of VAP in Wi-Fi environment is discussed. The idea is to virtually add APs in the existing indoor Wi-Fi system, this would mean additional virtually APs in the network. The experiments of the proposed algorithm shows the positive results when 2VAPs are used compared with only APs. A combination of 3APs and 2VAPs in the 3rd case had the lowest average error of 3.99 among its 4 scenarios.

Abstract

In recent years, indoor localization has been researched for the improvement of its localization accuracy capability in Wi-Fi environment. The fingerprint and RF propagation models has been the main approach in determining indoor positioning. With the use of fingerprint, a low-cost, versatile localization system can be achieved without the use of external hardware. However, only a few research have been made on virtual access points (VAPs) among indoor localization models. In this paper, the idea of indoor localization system using fingerprint with the addition of VAP in Wi-Fi environment is discussed. The idea is to virtually add APs in the existing indoor Wi-Fi system, this would mean additional virtually APs in the network. The experiments of the proposed algorithm shows the positive results when 2VAPs are used compared with only APs. A combination of 3APs and 2VAPs in the 3rd case had the lowest average error of 3.99 among its 4 scenarios.

참고문헌 (8)

  1. Feng Xia, "Internet of Things", International Journal of Communication Systems, 25(9), pp.1101~1102 (2012), Wiley-Blackwell[DOI]
  2. P. Bahl, "RADAR: an in-building RF-based user location and tracking system", Proc. INFOCOM’00: Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, 2, pp.775~784 (2000)
  3. A. K. M. Mahtab Hossain, "Fingerprint-Based Location Estimation with Virtual Access Points", 2008 Proceedings of 17th International Conference on Computer Communications and Networks, pp.1~6 (2008)
  4. S. Sen, "Precise Indoor Localization Using PHY Layer Information", Proc. 10th ACM Workshop. Hot Topics in Networks, pp.18:1~18:6 (2011)
  5. Arsham Farshad, "A Microscopic Look at WiFi Fingerprinting for Indoor Mobile Phone Localization in Diverse Environments", 2013International Conference on Indoor Positioning and Indoor Navigation, pp.1~10 (2013)
  6. K. Kaemarungsia, "Analysis of WLANs Received Signal Strength Indication for Indoor Location Fingerprinting", Pervasive and Mobile Computing, 8(2), pp.292~316 (2011)
  7. B. Labinghisa, "A Study on Indoor Localization Model based on Access Points and Virtual Access Points in Wi-Fi Environment", Proceedings of Summer Conference of KICS, pp.145~146 (2016)
  8. B. Labinghisa, "Indoor Localization Algorithm using Virtual Access Points in Wi-Fi Environment", KIPS Fall Conference Proceedings, 23(2), pp.168~171 (2016)

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