Indoor Localization Using IPS with User Defined Privacy Preservation

Authors(3) :-Vishal V, Sanjeev Krishnan R, Kayalvizhi C

Indoor Positioning System (IPS) has played a major part in using navigation inside an enclosed or indoor location. Predominant Smartphone as localization subsystems currently relies on server-side localization processes, allowing the service provider to know the location of a user at all time. Here we propose an algorithm to avoid the other sources from accessing personal data from the user hence avoiding data theft. A key observation is that these incidents typically involve large congregations of individuals, which form durable and stable areas with high density. Since the process of discovering, gathering patterns over large-scale trajectory databases can be quite lengthy, we further develop a set of well thought out techniques to improve the performance. We have evaluated our framework using a real prototype developed in Android and Hardtop HBase as well as realistic Wi-Fi traces scaling-up to several GBs. We can offer fine-grained localization in approximately four orders of magnitude less energy and number of Messages than competitive approaches.

Authors and Affiliations

Vishal V
Computer Science and Engineering, Dhanalakshmi College of Engineering, Tambaram, Chennai, Tamil Nadu, India
Sanjeev Krishnan R
Computer Science and Engineering, Dhanalakshmi College of Engineering, Tambaram, Chennai, Tamil Nadu, India
Kayalvizhi C
Computer Science and Engineering, Dhanalakshmi College of Engineering, Tambaram, Chennai, Tamil Nadu, India

IPS, Security, Navigation, Offline Navigation

  1. Y. Gu, A. Lo, and I. Niemegeers, “A survey of indoor positioning systems for wireless personal networks,” IEEE Commun. Surveys Tuts, vol. 11, no. 1, pp. 13–32, 1st Quarter 2009.
  2. H. Liu, H. Darabi, P. Banerjee, and J. Liu, “Survey of wireless indoor positioning techniques and systems,” IEEE Trans. Syst., Man Cybern., C, Appl. Rev., vol. 37, no. 6, pp. 1067–1080, Nov. 2007.
  3. L. Petrou, G. Larkou, C. Laoudias, D. Zeinalipour-Yazti, and C. G. Panayiotou. (2014). Crowdsourced indoor localization and navi-gation with anyplace, in Proc. 13th Int. Symp. Inf. Process. Sensor Netw., pp. 331–332 [Online]. Available: citation.cfm?id=2602339.2602400
  4. B. H. Bloom, “Space/time trade-offs in hash coding with allow-able errors,” Commun. ACM, vol. 13, no. 7, pp. 422–426, Jul. 1970.
  5. A. Konstantinidis, G. Chatzimiloudis, C. Laoudias, S. Nicolaou, and D. Zeinalipour-Yazti, “Towards planet-scale localization on smartphones with a partial radiomap,” in Proc. 4th ACM Int. Workshop Hot Topics Planet-Scale Meas., 2012, pp. 9–14.
  6. G. Larkou, C. Costa, P. G. Andreou, A. Konstantinidis, and D. Zeinalipour-Yazti, “Managing smartphone testbeds with smartlab,” in Proc. 27th Int. Conf. Large Installation Syst. Administra-tion, 2013, pp. 115–132.
  7. C. Laoudias, G. Constantinou, M. Constantinides, S. Nicolaou, D. Zeinalipour-Yazti, and C. G. Panayiotou, “The airplace indoor positioning platform for android smartphones,” in Proc. 13th IEEE Int. Conf. Mobile Data Manag., 2012, pp. 312–315.
  8. D. Lymberopoulos, J. Liu, X. Yang, R. R. Choudhury, V. Handziski, and S. Sen, “A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned,” in Proc. 14th Int. Conf. Inf. Process. Sensor Netw., 2015, pp. 178–189.
  9. B. Li, J. Salter, A. G. Dempster, and C. Rizos, “Indoor positioning techniques based on wireless LAN,” in Proc. 1st Int. Conf. Wireless Broadband Ultra Wideband Commun., June 2006, pp. 13–16.
  10. L. Sweeney, “K-anonymity: A model for protecting privacy,” Int. J.  Uncertain.  Fuzziness  Knowl.-Based  Syst.,  vol.  10,  no.  5, pp. 557–570, Oct. 2002.
  11. R. Agrawal, J. Kiernan, R. Srikant, and Y. Xu. (2002). Hippocratic databases, in Proc. 28th Int. Conf. Very Large Data Bases, pp. 143–154 [Online]. Available: 1287383
  12. H. Kido, Y. Yanagisawa, and T. Satoh, “An anonymous communi-cation technique using dummies for location-based services,” in  Proc. Int. Conf. Pervasive Services, 2005, pp. 88–97.

Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 387-392
Manuscript Number : IJSRSET1622126
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Vishal V, Sanjeev Krishnan R, Kayalvizhi C, " Indoor Localization Using IPS with User Defined Privacy Preservation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.387-392, March-April-2016.
Journal URL :

Article Preview

Follow Us

Contact Us