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Reseach Article

Interactive Android-Based Indoor Wireless Tracking using Qr-Code

Published on July 2018 by Snehal J. Borude, D. H. Kulkarni
International Conference on “Internet of Things, Next Generation Networks and Cloud Computing"
Foundation of Computer Science USA
ICINC2017 - Number 1
July 2018
Authors: Snehal J. Borude, D. H. Kulkarni
d83a4e2f-8956-43a3-8f82-6c595ec118e2

Snehal J. Borude, D. H. Kulkarni . Interactive Android-Based Indoor Wireless Tracking using Qr-Code. International Conference on “Internet of Things, Next Generation Networks and Cloud Computing". ICINC2017, 1 (July 2018), 44-48.

@article{
author = { Snehal J. Borude, D. H. Kulkarni },
title = { Interactive Android-Based Indoor Wireless Tracking using Qr-Code },
journal = { International Conference on “Internet of Things, Next Generation Networks and Cloud Computing" },
issue_date = { July 2018 },
volume = { ICINC2017 },
number = { 1 },
month = { July },
year = { 2018 },
issn = 0975-8887,
pages = { 44-48 },
numpages = 5,
url = { /proceedings/icinc2017/number1/29675-1794/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on “Internet of Things, Next Generation Networks and Cloud Computing"
%A Snehal J. Borude
%A D. H. Kulkarni
%T Interactive Android-Based Indoor Wireless Tracking using Qr-Code
%J International Conference on “Internet of Things, Next Generation Networks and Cloud Computing"
%@ 0975-8887
%V ICINC2017
%N 1
%P 44-48
%D 2018
%I International Journal of Computer Applications
Abstract

Nowadays with the dispersion of wireless networks, smartphones and diverse related services, different localization techniques have been developed. Global Positioning System (GPS) has a high rate of accuracy for outdoor localization but the signal is not available inside of buildings. Also other existing methods for indoor localization have low accuracy. In addition, they use fixed infrastructure support. In this paper, we present a novel system for indoor localization. The solution proposed in this paper makes use of commonly available Wi-Fi networks and runs on ordinary tablets,smartphones without any additional hardware installation. It comprises two steps i) Steps Calibration. ii) Navigation stage. The calibration step creates a "Wi-Fi fingerprints" for each room of floor. It minimizes the calibration time via waypoints. The navigation stage matches the displays the path for user for source to destination and also enables the low consumption of smartphone battery for localization.

References
  1. Xiuyan Zhu, Yuan Feng*, "RSSI-based Algorithm for Indoor Localization Communications a Network",2013,5,3742 doi:10. 4236/cn. 2013. 52B007 Published Online May 2013 (http://www. scirp. org/journal/cn)
  2. Indoor Tracking-http://www. ijraset. com/
  3. Anthea Wain Sy Au, Chen Feng, Shahrokh Valaee, Senior Member, IEEE, Sophia Reyes, Sameh Sorour, Member, IEEE, Samuel N. Markowitz, Deborah Gold, Keith Gordon, and Moshe Eizenman, "Indoor Tracking and Navigation Using Received Signal Strength and Compressive Sensing on a Mobile Device", IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 10, OCTOBER 2013
  4. P. K. Engee, "The global positioning system: Signals, measurements and performance," Int. J. Wireless Inf. Netw. , vol. 1, no. 2, pp. 83–105,1994.
  5. RFID, (2002, Mar. ). [Online]. Available: http://people. interactionivrea. it/c. noessel/RFID/research. html
  6. L. M. Ni,Y. Liu,Y. C. Lau, and A. P. Patil "LANDMARC: Indoor location sensing using active RFID," Wireless Netw. , vol. 10, no. 6, pp. 701–710, Nov. 2004.
  7. J. J. Caffery and G. L. Stuber, "Overview of radiolocation in CDMA cellular system," IEEE Commun. Mag. , vol. 36, no. 4, pp. 38–45, Apr. 1998.
  8. P. Bahl and V. N. Padmanabhan, "RADAR: An in-building RF-based user location and tracking system," in Proc. IEEE INFOCOM 2000, Mar. , vol. 2, pp. 775–784.
  9. M. Youssef, A. Agrawala, and A. Udaya Shankar, "WLAN location determination via clustering and probability distributions," IEEE Int. Conf. Pervasive Comput. Commun. , Mar. 2003, pp. 143–151.
  10. Z. Xiang, S. Song, J. Chen, H. Wang, J. Huang, and X. Gao. (2004, Sep. /Nov. ). A WLAN based indoor positioning technology. IBM J. Res. Develop. [Online]. Available: http://researchweb. watson. ibm. com/journal/rd/485/xiang. html
  11. P. Prasithsangaree, P. Krishnamurthi, and P. K. Chrysanthis, "On indoor position with wireless LANs," 7 in Proc. IEEE Int. Symp. Pers. Indoor, Mobile Radio Commun. , Sep. 2002, vol. 2, pp. 720–724.
  12. A. Kotanen, M. Hannikainen, H. Leppakoski, and T. D. Hamalainen,"Experiments on local positioning with Bluetooth," in Proc. IEEE Int. Conf. Inf. Technol. : Comput. Commun. , Apr. 2003, pp. 297–303.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Indoor Localization Fingerprinting Rssi Smartphones.