CFP last date
20 May 2024
Reseach Article

Mathematical Analysis of Mobile Latitude Software on Location Tracking

by Shaveta Bhatia, Saba Hilal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 8
Year of Publication: 2013
Authors: Shaveta Bhatia, Saba Hilal
10.5120/11985-7860

Shaveta Bhatia, Saba Hilal . Mathematical Analysis of Mobile Latitude Software on Location Tracking. International Journal of Computer Applications. 70, 8 ( May 2013), 38-42. DOI=10.5120/11985-7860

@article{ 10.5120/11985-7860,
author = { Shaveta Bhatia, Saba Hilal },
title = { Mathematical Analysis of Mobile Latitude Software on Location Tracking },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 8 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number8/11985-7860/ },
doi = { 10.5120/11985-7860 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:22.977628+05:30
%A Shaveta Bhatia
%A Saba Hilal
%T Mathematical Analysis of Mobile Latitude Software on Location Tracking
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 8
%P 38-42
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Location accuracy problem is addressed in Location Based Tracking using mobiles. Location accuracy is a fundamental task because user needs accurate Location to track a child, a friend or culprit etc. The Mathematical Analysis is done in the paper on Location Tracking by mobile phone. A Person is tracked through Latitude Software of a Mobile. The distance of s person (Predicted distance) from different locations is determined through same software on a Mobile. Actual distances are also noted for same locations. By applying various mathematical Algorithms, the study calculates the error and accuracy level of the position of a person through Mobile. The study compares the results of different algorithms and calculates the correlation between distances that leads to conclusions and key issues for further work.

References
  1. Jose Maria Cabero et al,"Tracking Algorithms based on dynamics of individuals and Multidimensional Scaling", IEEE, Feb 1, 2000.
  2. Mehak Khurana et al,"An improvement of Centroid Algorithm based on distance in Wireless Sensor Network", International Journal of Smart Sensors and Ad-Hoc Networks,Vol 1,issue 1,2011.
  3. R. Craig Coulter et al," Implementation of the pure Pursuit Path Tracking Algorithm", CMU-RI-TR-92-01, Robotics Institute, January 1992.
  4. C. Vinothkumar et al,"WSN based Three dimensional Location Tracking Algorithm", International Conference on Computing and Control Engineering, 12 April, 2012.
  5. Silky Feldmann et al,"An indoor Bluetooth based positioning system: concept, implementation and experimental evaluation", ICWN'03, Las Vegas, USA, 2003.
  6. Farinaz Koushanfar et al,"Global Error-Tolerant Algorithms for location Discovery in Wireless Adhoc Networks", International Conference on Acoutics, speech and signal processing, California, 13-17 May, 2002.
  7. Anthony Clarkson et al," Hybrid Positioning Algorithms in location based Services", Proceedings of the Ist workshop on positioning, navigation and communication (WPNC'04).
  8. Wikipedia,"Haversine Formula", available on http://en. wikipedia. org/wiki/Haversine_formula retrieved on 10 Jan, 2013.
  9. Nissanka B. Priyantha," The Cricket Location-Support System", 6th ACM International Conference on Mobile Computing and Networking (ACM MOBICOM), August 2000.
  10. K. Whitehouse,"The effects of ranging noise on multihop localization: an empirical study" in ISPN'05: Proceedings of 4th international symposium on information processing in Sensor Networks, USA: IEEE press, 2005, pp 10.
  11. Xin Wang et al,"A TOA based Location Algorithm Reducing the errors due to Non-Line-of-Sight (NLOS) propagation" IEEE Transactions on Vehicular Technology, Vol 52, No. 1, January 2003.
  12. Wikipedia," Google latitude available at, http://en. wikipedia. org/wiki/google_latitude,retrieved on 24 January, 2013.
  13. Yunzu et al,"Research of Localization and Tracking Algorithms based on Wireless Sensor Networks", Journal of Informational and Computational Science,Vol8,issue 4,2011,pp 708-715.
  14. Sarana Nutanong et al,"An incremental Hausdorff Distance Calculation Algorithm", Proceedings of the VLDB Endowment, Vol4, No. 8, 2011.
  15. Wikipedia,"Global Positioning System", available at http://en. wikipedia. org/wiki/Global_Positioning_System,retreived on 17 January, 2013.
  16. Movable type Scripts, "Calculate distance, bearing and more between Latitude/Longitude points", available at http://www. movable-ype. co. uk/scripts/latlong. html,retreived on 18 January, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Google Latitude GPS Location Tracking Root mean Square Least Square Method Correlation Regression