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GPS Calibrated Ad-hoc Localization for Geosocial Networking

GPS Calibrated Ad-hoc Localization for Geosocial Networking. Dexter H. Hu Cho-Li Wang Yinfeng Wang { hyhu ,clwang,yfwang}@cs.hku.hk. Outline. Introduction Mobile Twitter for Geosocial Networking Related Work MCL and Amorphous MobiAmorph algorithm Performance Evaluation and Analysis

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GPS Calibrated Ad-hoc Localization for Geosocial Networking

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  1. GPS Calibrated Ad-hoc Localization forGeosocial Networking Dexter H. Hu Cho-Li WangYinfeng Wang {hyhu,clwang,yfwang}@cs.hku.hk

  2. Outline • Introduction • Mobile Twitter for Geosocial Networking • Related Work • MCL and Amorphous • MobiAmorph algorithm • Performance Evaluation and Analysis • Discussion • Conclusion GPS Calibrated Ad-hoc Localization for Geosocial Networking

  3. Geosocial Networking • From social networking -> mobile social networking -> geosocial networking • A new type of social networking in which geographic services and capabilities such as geocoding and geotagging are used to enable additional social dynamics. • Application Example • Location-planning • Social Shopping • Trip tracking GPS Calibrated Ad-hoc Localization for Geosocial Networking

  4. Mobile Twitter Practical for real life usage and encourage ad-hoc information sharing, Mobile social applications will be more meaningful and location-aware Twit social events with location information attached. Car accident, Taxi call, Voting, Disaster/rescue Localization is possible without the deployment of large infrastructure Help of GPS-enabled mobile users Under certain mobility model of pedestrians in typical urban environment, accurate GPS information can quickly propagate to non-GPS users GPS Calibrated Ad-hoc Localization for Geosocial Networking 4 2020/1/4

  5. Usage Scenario and Components GPS Calibrated Ad-hoc Localization for Geosocial Networking 5 2020/1/4

  6. Usage Scenario and Components (cont'd) GPS Calibrated Ad-hoc Localization for Geosocial Networking

  7. Localization with Historical Data and Moving Velocity possible area Figure 2 GPS Calibrated Ad-hoc Localization for Geosocial Networking 7 2020/1/4

  8. Related Work • Range-free Localization • Monte Carlo Localization (MCL) • Posterior distribution of a node’s possible locations using a set of weighted samples • Amorphous • Similar variant DV-HOP, pop-counting technique which is similar to distance vector routing. • Each seed broadcasts its location to neighbors and other nodes try to estimate their distance to seeds GPS Calibrated Ad-hoc Localization for Geosocial Networking 8 2020/1/4

  9. Outline • Introduction • Mobile Twitter: Geosocial Networking • Related Work • MCL and Amorphous • MobiAmorph algorithm • Performance Evaluation and Analysis • Discussion • Conclusion GPS Calibrated Ad-hoc Localization for Geosocial Networking 9 2020/1/4

  10. Common Notations GPS Calibrated Ad-hoc Localization for Geosocial Networking

  11. MobiAmorph Algorithm Receive enough fresh information GPS Calibrated Ad-hoc Localization for Geosocial Networking

  12. Localization with Historical Data and Moving Velocity possible area Figure 2 GPS Calibrated Ad-hoc Localization for Geosocial Networking 12 2020/1/4

  13. MobiAmorph Algorithm • Relaxed Trilateration: • Multilateration of Amorphous needs at least 3 reference points. • Location estimating with overlapping circles can still have a decent estimation even there are only two reference points available. • Increased coverage. • Historical Data • Last estimated location to increase accuracy and coverage. • With relaxed trilateration, only one reference information is need • Two hop count packet • Increased coverage and accuracy GPS Calibrated Ad-hoc Localization for Geosocial Networking

  14. Outline • Introduction • Mobile Twitter: Geosocial Networking • Related Work • MCL and Amorphous • MobiAmorph algorithm • Performance Evaluation and Analysis • Discussion • Conclusion GPS Calibrated Ad-hoc Localization for Geosocial Networking 14 2020/1/4

  15. Performance Evaluation and Analysis MobiReal Simulator Evaluation Goals: Coverage and Accuracy of MobiAmorph with MCL and Amorphous MobiAmorph under various settings for recommended configuration in real deployment Mobile Twitter’s power/memory consumption by MobiAmorph GPS Calibrated Ad-hoc Localization for Geosocial Networking

  16. Evaluation Scenarios Street Building (500m x 500m) Open Area (100m x 100m) GPS Calibrated Ad-hoc Localization for Geosocial Networking

  17. Effect of Packet Interval and Seed Ratio in Street and Open Area GPS Calibrated Ad-hoc Localization for Geosocial Networking

  18. Effect of Packet Interval and Seed Ratio in Street and Open Area (cont'd) Street Open

  19. Street Open GPS Calibrated Ad-hoc Localization for Geosocial Networking

  20. MobiAmorph Performance on Street Scenario GPS Calibrated Ad-hoc Localization for Geosocial Networking

  21. MobiAmorph Performance on Street Scenario (cont'd)

  22. Mobile Twitter Deployment Evaluationon Android phone GPS Calibrated Ad-hoc Localization for Geosocial Networking

  23. Outline • Introduction • Mobile Twitter: Geosocial Networking • Related Work • MCL and Amorphous • MobiAmorph algorithm • Performance Evaluation and Analysis • Discussion • Conclusion GPS Calibrated Ad-hoc Localization for Geosocial Networking 23 2020/1/4

  24. Discussion • Resolution Limitation • Theoretical limitation for using only connectivity information • Privacy and Security for Adoption • Malicious seeds • Corrupted relay nodes • Application Message encrypted • Pedestrian Mobility Model • Urban Pedestrian Flows (UPF) GPS Calibrated Ad-hoc Localization for Geosocial Networking

  25. Conclusion • Ad hoc localization with the help of GPS information in urban environment with pedestrians • We compared MobiAmorph with other two distributed range-free localization algorithms. • The Mobile Twitter application is developed with the MobiAmorph algorithm on the Android to boost adoption of geosocial networking. GPS Calibrated Ad-hoc Localization for Geosocial Networking

  26. Thank you!謝謝！ GPS Calibrated Ad-hoc Localization for Geosocial Networking

  27. GPS Calibrated Ad-hoc Localization for Geosocial Networking

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