Organic Indoor Location Discovery

We describe an indoor, room-level location discovery method based on spatial variations in “wifi signatures,” i.e., MAC addresses and signal strengths of existing wireless access points. The principal novelty of our system is its organic nature; it builds signal strength maps from the natural mobility and lightweight contributions of ordinary users, rather than dedicated effort by a team of site surveyors. Whenever a user’s personal device observes an unrecognized signature, a GUI solicits the user’s location. The resulting location-tagged signature or “bind” is then shared with other clients through a common database, enabling devices subsequently arriving there to discover location with no further user contribution. Realizing a working system deployment required three novel elements: (1) a human-computer interface for indicating location over intervals of varying duration; (2) a client-server protocol for pre-fetching signature data for use in localization; and (3) a location-estimation algorithm incorporating highly variable signature data. We describe an experimental deployment of our method in a nine-story building with more than 1,400 distinct spaces served by more than 200 wireless access points. At the conclusion of the deployment, users could correctly localize to within 10 meters 92% of the time.

[1]  Barry Brumitt,et al.  EasyLiving: Technologies for Intelligent Environments , 2000, HUC.

[2]  D. J. Allerton,et al.  Book Review: GPS theory and practice. Second Edition, HOFFMANNWELLENHOFF B., LICHTENEGGER H. and COLLINS J., 1993, 326 pp., Springer, £31.00 pb, ISBN 3-211-82477-4 , 1995 .

[3]  Alex Pentland,et al.  Reality mining: sensing complex social systems , 2006, Personal and Ubiquitous Computing.

[4]  V. Padmanabhan,et al.  Enhancements to the RADAR User Location and Tracking System , 2000 .

[5]  J. Barney,et al.  Commercialization of an ultra wideband precision asset location system , 2003, IEEE Conference on Ultra Wideband Systems and Technologies, 2003.

[6]  Henry Tirri,et al.  A Probabilistic Approach to WLAN User Location Estimation , 2002, Int. J. Wirel. Inf. Networks.

[7]  Hanumant Singh,et al.  Advances in Underwater Robot Vehicles for Deep Ocean Exploration: Navigation, Control, and Survey Operations , 2000 .

[8]  Ying Zhang,et al.  Localization from mere connectivity , 2003, MobiHoc '03.

[9]  Azzedine Boukerche,et al.  Algorithms and Protocols for Wireless Sensor Networks , 2008, Wiley series on parallel and distributed computing.

[10]  Andreas Haeberlen,et al.  Practical robust localization over large-scale 802.11 wireless networks , 2004, MobiCom '04.

[11]  John Platt,et al.  Minimizing Calibration Effort for an Indoor 802.11 Device Location Measurement System , 2003 .

[12]  Andy Hopper,et al.  The Anatomy of a Context-Aware Application , 1999, Wirel. Networks.

[13]  Antonin Guttman,et al.  R-trees: a dynamic index structure for spatial searching , 1984, SIGMOD '84.

[14]  Anil Kumar Understanding Privacy , 2010 .

[15]  B. R. Badrinath,et al.  Ad hoc positioning system (APS) using AOA , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[16]  Ted Kremenek,et al.  A Probabilistic Room Location Service for Wireless Networked Environments , 2001, UbiComp.

[17]  Hari Balakrishnan,et al.  A measurement study of vehicular internet access using in situ Wi-Fi networks , 2006, MobiCom '06.

[18]  Sunny Consolvo,et al.  Learning and Recognizing the Places We Go , 2005, UbiComp.

[19]  Ying Zhang,et al.  Localizing Tags Using Mobile Infrastructure , 2007, LoCA.

[20]  J. Davenport Editor , 1960 .

[21]  Gaetano Borriello,et al.  SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength , 2000 .

[22]  Andy Hopper,et al.  The active badge location system , 1992, TOIS.

[23]  Hari Balakrishnan,et al.  6th ACM/IEEE International Conference on on Mobile Computing and Networking (ACM MOBICOM ’00) The Cricket Location-Support System , 2022 .

[24]  Andreas Krause,et al.  Toward Community Sensing , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[25]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[26]  John R. Douceur,et al.  The Sybil Attack , 2002, IPTPS.

[27]  Matt Welsh,et al.  MoteTrack: a robust, decentralized approach to RF-based location tracking , 2005, Personal and Ubiquitous Computing.

[28]  Mani B. Srivastava,et al.  Dynamic fine-grained localization in Ad-Hoc networks of sensors , 2001, MobiCom '01.

[29]  Loren G. Terveen,et al.  The dynamics of mass interaction , 1998, CSCW '98.

[30]  Bill N. Schilit,et al.  Place Lab: Device Positioning Using Radio Beacons in the Wild , 2005, Pervasive.