1 / 26

The NearMe Wireless Proximity Server

The NearMe Wireless Proximity Server. John Krumm and Ken Hinckley Microsoft Research Redmond, WA, USA. The Basic Idea. 802.11 Wi-Fi access point. NearMe Proximity Server. d 12 = g( s 1 , s 2 ). Location vs. Proximity. x 1 = (x,y) location. x 2 = (x,y) location.

lave
Download Presentation

The NearMe Wireless Proximity Server

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The NearMe Wireless Proximity Server John Krumm and Ken Hinckley Microsoft Research Redmond, WA, USA Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  2. The Basic Idea 802.11 Wi-Fi access point NearMe Proximity Server Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  3. d12 = g(s1, s2) Location vs. Proximity x1 = (x,y) location x2 = (x,y) location d12 = f(x1, x2) s1 = measured signals s2 = measured signals Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  4. Who Cares? Schilit, Adams, & Want, “Context-Aware Computing Applications”, 1994. • Which of my friends, colleagues, relatives, or enemies are nearby? • Who are these strangers with me? • What are the names of nearby printers? • What conference rooms are nearby? • How far away is the nearest receptionist desk? Other elements of context: velocity, mode of transportation, task, goal, mood … Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  5. Other Proximity Methods • Location from • Active badges • Cameras • Wi-Fi • GPS • Cell Phones • … • Conference Devices • SpotMe • nTAGTM • IntelliBadgeTM - NCSA • Conference Assistant – Georgia Tech • Proxy Lady – Viktoria Institute • Digital Assistant – ATR • Synchronous Context • Synchronous Gestures – Microsoft • “Are You With Me?” – U. Washington • SyncTap – Sony • Stitching – Microsoft • Smart-Its Friends – Disappearing Computer Initiative SpotMe nTAGTM • Services • Trepia • iChat – Apple • Short Range Networking • Infrared • Bluetooth Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  6. NearMe Client PocketPC 2003 Windows XP • Requirements: • Windows XP • WWW access • Microsoft .NET Framework Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  7. NearMe Client – Test Connections Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  8. NearMe Client – Register • Register with: • Name • Email (optional) • URL (optional) • Expiration interval Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  9. NearMe Client – Report Wi-Fi • List of detectable Wi-Fi access points • Access points used only as beacons • Periodic reports for mobility Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  10. NearMe Client -- Query Adjustable “Look back” time to filter outdated reports Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  11. Register as thing Report signal strengths Query for things NearMe Client – Nearby Things Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  12. NearMe Server Clients .NET Web Service SQL Server Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  13. NearMe Server Data Expiration deletes source of Wi-Fi data, but not Wi-Fi data itself Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  14. D E B C B E A D C • Access point topology in database • Recomputed every hour F Access Point Layout 1 2 A F 3 Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  15. Hops = Distance Estimate Extends proximity range beyond radio range Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  16. Access Point Travel Times Minimum observed client travel time between access points • Recomputed every hour • Could be computed from other “wardriving” data, e.g. • Intel Research Place Lab • NetStumbler • To Do • Path plan, e.g. A→C = A→B + B→C • Cluster times, e.g. times for walk, bike, drive Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  17. Travel Times = Distance Estimate Observed lower bound on travel time Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  18. Distance Estimation How to estimate distance between things? Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  19. Distance Functions Wi-Fi Signature = s = { (mac1, rssi1), (mac2, rssi2), … , {(macn, rssin) } sb sa d = f(sa,sb) • Candidate Distance Features: • n∩ = number of access points in common • ssd∩ = sum of squared differences of rssi in common • nu = number of access points not in common • ρs = Spearman rank coefficient of access points in common Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  20. Compare Ranked Signal Strengths mac2 mac3 mac3 mac1 mac2 mac3 -1 <= ρs <= 1 Spearman rank = ρs “RightSPOT”, UbiComp 2003 Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  21. Distance Functions d = f(sa,sb) d = f(n∩, ssd∩, nu, ρs) Example: d = a∙n∩2 + b∙ssd∩ + c∙nu3 + d∙ρs 4 features + polynomials to 3rd degree = 45 different test functions Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  22. Test Data • Wi-Fi Cards • Dell built-in laptop • Microsoft Wireless USB • ORiNOCO PC Card • Actiontec USB • Cisco Aironet PC Card • Linksys USB Office Building: 1,441,739 pairs Cafeteria: 572,027 pairs Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  23. Simple Distance Function d = -2.53∙n∩ – 2.90∙ρs - 22.31 rms error = 14.04 meters ρs = 0.39 Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  24. Applications Stitching Look up URLs of nearby people Send email to people nearby Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  25. What Makes NearMe Different? • Works on existing Wi-Fi devices • Minimal setup • “Out of the box” for nearby people • Capability grows with use • Short range proximity • Accounts for different Wi-Fi hardware • Sorted by distance • Long range proximity • Hop distances via adjacency analysis • Travel times via timestamp analysis Download from http://research.microsoft.com/~jckrumm/NearMe.htm

  26. Demo Download from http://research.microsoft.com/~jckrumm/NearMe.htm

More Related