1. LAWS : Location Accuracy based on Wireless Signals Master Project
Sri Naga Jahnavi Yeddanapudy

2. LAWS/Sri Naga Jahnavi Yeddanapudy
Outline of the talk
Introduction
Background
Related Work
Design
Implementation
Performance Evaluation
Challenges faced
Lessons learnt
Future Work
Conclusion
References
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3. LAWS/Sri Naga Jahnavi Yeddanapudy
introduction
Need For Location Accuracy
Disaster/Security, e.g. E-911
Better Direction
Geo-Fencing
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4. LAWS/Sri Naga Jahnavi Yeddanapudy
Background
GPS information – Latitude , Longitude
Wi-Fi derived location information
The GPS location of Wireless access point (AP)
BSSID can be used to identify uniquely the signal of an AP.
By correlating the strength of three AP signal we can estimate the location of a Wi-Fi receiver.
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5. LAWS/Sri Naga Jahnavi Yeddanapudy
Free Space Path Loss - characterizes how the wireless signal degrades over distance (following an inverse square law):
Trilateration
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6. LAWS/Sri Naga Jahnavi Yeddanapudy
Related Work
Wi-Fi GPS based Combined positioning Algorithm [Zirari et al,2010]
Improve GPS Positioning Accuracy with Context Awareness [Huang,2008]
Task remainder based on location [Lin and Hung, 2014]
Validating crowd sensed data using image processing [Talasila, 2013]
Android Application to alert driver in school zone if over speeding [Whipple et al, 2009]
IT Forensic analysis based on IP Geo location information [Koch et al, 2015]
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7. Location Accuracy Based on Wireless Signals
Assumptions
End user must have Android Studio installed to deploy the application.
We assume that they is no hackers trying to change or spoof the GPS and Wi-Fi location information.
The Android applications that are developed serve the Android smart phones or tablets which have minimum API 15 : Android (Ice cream Sandwich)
LAWS System is provided to
Smart phone GPS application to determine the user location.
Wi-Fi application to provide the user location based on Wi-Fi and Geo location information.
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8. LAWS/Sri Naga Jahnavi Yeddanapudy
Design
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9. LAWS/Sri Naga Jahnavi Yeddanapudy
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10. LAWS/Sri Naga Jahnavi Yeddanapudy
Implementation
LAWS GPS Android Application
LAWS Wi-Fi Android Application
Location – Geo location -Google Client API
Wi-Fi Manager
Wi-Fi trilateration
Technologies used : Android Studio 1.5
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11. LAWS/Sri Naga Jahnavi Yeddanapudy
LAWS GPS Application
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12. LAWS/Sri Naga Jahnavi Yeddanapudy
LAWS Wi-Fi
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13. User location points determined using Wi-Fi trilateration
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14. User location points determined using Wi-Fi trilateration
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15. Alpine Center GPS value generated using Wi-Fi trilateration
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16. Pseudo code of GPS Smart Phone application
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17. Pseudo code for Wi-Fi Scan
LAWS/Sri Naga Jahnavi Yeddanapudy
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18. Pseudo code for Wi-Fi trilateration
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19. Performance Evaluation
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20. LAWS/Sri Naga Jahnavi Yeddanapudy
Error values
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21. LAWS/Sri Naga Jahnavi Yeddanapudy
Average and Variance
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22. Average and Variance (Cont.)
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23. LAWS/Sri Naga Jahnavi Yeddanapudy
Performance analysis
Performance of the GPS is 75% better than the Wi-Fi derived information based on the 90 samples that were collected for the Smart Phone GPS data.
Based on the nine values of the smart phones geolocation data, the performance of the GPS is 50% better than the Wi-Fi derived information.
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24. LAWS/Sri Naga Jahnavi Yeddanapudy
Challenges Faced
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25. LAWS/Sri Naga Jahnavi Yeddanapudy
Challenges faced
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26. LAWS/Sri Naga Jahnavi Yeddanapudy
Challenges faced
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Lessons learnt
Wi - Fi API and Google Client API are very useful.
Android Programming using Android Studio is easy to learn.
How to develop a user friendly application.
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28. LAWS/Sri Naga Jahnavi Yeddanapudy
Future work
Design and develop E-911 Service
GPS Verification Service.  
Dynamic evaluation
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29. LAWS/Sri Naga Jahnavi Yeddanapudy
conclusion
Designed and implemented system for Location Accuracy based on Wireless Signals
Provide User location information through GPS Application
Provide User location information through Wi-Fi application
I conducted experiments to investigate the location accuracy based on Wi-Fi and GPS information and LAWS systems results show that GPS approximately 50% more accurate than Wi-Fi.
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30. LAWS/Sri Naga Jahnavi Yeddanapudy
References
Soumaya Zirari, Philippe Canalda and Francois Spies, “WiFi GPS based Combined positioning Algorithm”, Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference, Pages , June
Jiung-yao Huang, Chung-Hsien Tsai, “Improve GPS Positioning Accuracy with Context Awareness”, Ubi-Media Computing, First IEEE International Conference, Pages 94-99, July 31 – Aug
Chi-Yi Lin & Ming-Tze Hung, “A location-based personal task reminder for mobile users”, Pages , Personal and Ubiquitous Computing archive, Volume 18 Issue 2, February 2014.
Manoop Talasila, Reza Curtmola, and Cristian Borcea, “Improving Location Reliability in Crowd Sensed Data with Minimal Efforts”, Pages 1-8, Wireless and Mobile Networking Conference (WMNC), th Joint IFIP, April 2013.
John Whipple, William Arensman, Marian Starr Boler, “A Public Safety Application of GPS-Enabled Smartphones and the Android Operating System”, Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, Pages , October
Robert Koch, Mario Golling, Lars Stiemert, and Gabi Dreo Rodosek, “Using Geolocation for the Strategic Preincident Preparation of an IT Forensics Analysis”, Systems Journal, IEEE, Pages 1-12, February
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31. LAWS/Sri Naga Jahnavi Yeddanapudy
Q & A
LAWS/Sri Naga Jahnavi Yeddanapudy
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