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Accuracy characterization for metropolitan-scale Wi-Fi localization
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Source International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 3rd international conference on Mobile systems, applications, and services table of contents
Seattle, Washington
SESSION: Location (there) table of contents
Pages: 233 - 245  
Year of Publication: 2005
ISBN:1-931971-31-5
Authors
Yu-Chung Cheng  Intel Research, Seattle
Yatin Chawathe  Intel Research, Seattle
Anthony LaMarca  Intel Research, Seattle
John Krumm  Microsoft Research
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
USENIX: USENIX Association
Publisher
ACM  New York, NY, USA
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ABSTRACT

Location systems have long been identified as an important component of emerging mobile applications. Most research on location systems has focused on precise location in indoor environments. However, many location applications (for example, location-aware web search) become interesting only when the underlying location system is available ubiquitously and is not limited to a single office environment. Unfortunately, the installation and calibration overhead involved for most of the existing research systems is too prohibitive to imagine deploying them across, say, an entire city. In this work, we evaluate the feasibility of building a wide-area 802.11 Wi-Fi-based positioning system. We compare a suite of wireless-radio-based positioning algorithms to understand how they can be adapted for such ubiquitous deployment with minimal calibration. In particular, we study the impact of this limited calibration on the accuracy of the positioning algorithms. Our experiments show that we can estimate a user's position with a median positioning error of 13-40 meters (depending upon the characteristics of the environment). Although this accuracy is lower than existing positioning systems, it requires substantially lower calibration overhead and provides easy deployment and coverage across large metropolitan areas.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
P. Bahl and V. N. Padmanabhan. RADAR: An In-Building RF-Based User Location and Tracking System. In Proceedings of IEEE Infocom 00, April 2000.
 
3
Dodgeball.com. Mobile social software. http://www.dodgeball.com/.
 
4
E911 and E112 Resources. http://www.globallocate.com/.
 
5
P. Enge and P. Misra. The Global Positioning System. Proceedings of the IEEE (Special Issue on GPS), pages 3--172, January 1999.
 
6
D. Fox, J. Hightower, L. Liao, D. Schulz, and G. Borriello. Bayesian filtering for location estimation. IEEE Pervasive Computing, 2(3):24--33, July-September 2003.
 
7
Google.com. Google local: Find local businesses and services on the web. http://local.google.com/.
 
8
B. G. Griswold et al. Using mobile technology to create opportunistic interaction on a university campus. In Proceedings of UBICOMP Workshop on Supporting Spontaneous Interaction in Ubiquitous Computing Settings, September 2002.
 
9
F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P.-J. Nordlund. Particle Filters for Positioning, Navigation and Tracking. IEEE Transactions on Signal Processing, 50:425--435, February 2002.
10
 
11
 
12
J. Hightower and G. Borriello. Accurate, Flexible, and Practical Location Estimation for Ubiquitous Computing. In Proceedings of International Conference on Ubiquitous Computing (UBICOMP), 2004.
 
13
J. Hightower and G. Borriello. Particle filters for location estimation in ubiquitous computing: A case study. In Proceedings of International Conference on Ubiquitous Computing (UBICOMP), 2004.
 
14
Kismet. http://www.kismetwireless.net/.
 
15
J. Krumm, G. Cermak, and E. Horvitz. RightSPOT: A Novel Sense of Location for a Smart Personal Object. In Proceedings of International Conference on Ubiquitous Computing (UBICOMP), October 2003.
 
16
J. Krumm and E. Horvitz. Locadio: Inferring motion and location from wi-fi signal strengths. In Proceedings of International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous'04), 2004.
17
 
18
A. LaMarca et al. Place lab: Device positioning using radio beacons in the wild. In Proceedings of International Conference on Pervasive Computing (Pervasive), June 2005.
 
19
C. Ma, G.-I. Jee, G. MacGougan, G. Lachapelle, S. Bloebaum, G. Cox, L. Garin, and J. Shewfelt. Gps signal degradation modeling. In Proceedings of International Technical Meeting of the Satellite Division of the Institute of Navigation, Sept. 2001.
 
20
NetStumbler. http://www.netstumbler.com.
 
21
P.-J. Norlund, F. Gunnarsson, and F. Gustafsson. Particle Filters for Positioning in Wireless Networks. In Proceedings of EUSIPCO, September 2002.
 
22
D. J. Patterson, L. Liao, D. Fox, and H. Kautz. Inferring High-Level Behavior from Low-Level Sensors. In Proceedings of International Conference on Ubiquitous Computing (UBICOMP), 2003.
 
23
24
 
25
M. Rabinowitz and J. Spilker. A new positioning system using television synchronization signals. http://www.rosum.com/.
 
26
T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanan. A probabilistic approach to wlan user location estimation. International Journal of Wireless Information Networks, 9(3), July 2002.
 
27
B. N. Schilit, N. Adams, R. Gold, M. Tso, and R. Want. The PARCTAB Mobile Computing System. In Proceedings of Workshop on Workstation Operating Systems, pages 34--39, Oct. 1993.
 
28
I. Smith et al. Social disclosure of place: From location technology to communication practices. In Proceedings of International Conference on Pervasive Computing (Pervasive), May 2005.
29
 
30
Yahoo! Inc. Yahoo local: Find businesses and services near you. http://local.yahoo.com/.

CITED BY  21

Collaborative Colleagues:
Yu-Chung Cheng: colleagues
Yatin Chawathe: colleagues
Anthony LaMarca: colleagues
John Krumm: colleagues