Location awareness is an important capability for mobile computing. Yet inexpensive, pervasive positioning—a requirement for wide-scale adoption of location-aware computing—has been elusive. We demonstrate a radio beacon-based approach to location, called Place Lab, that can overcome the lack of ubiquity and high-cost found in existing location sensing approaches. Using Place Lab, commodity laptops, PDAs and cell phones estimate their position by listening for the cell IDs of fixed radio beacons, such as wireless access points, and referencing the beacons’ positions in a cached database. We present experimental results showing that 802.11 and GSM beacons are sufficiently pervasive in the greater Seattle area to achieve 20-30 meter median accuracy with nearly 100% coverage measured by availability in people’s daily lives.
%0 Book Section
%1 springerlink:10.1007/11428572_8
%A LaMarca, Anthony
%A Chawathe, Yatin
%A Consolvo, Sunny
%A Hightower, Jeffrey
%A Smith, Ian
%A Scott, James
%A Sohn, Timothy
%A Howard, James
%A Hughes, Jeff
%A Potter, Fred
%A Tabert, Jason
%A Powledge, Pauline
%A Borriello, Gaetano
%A Schilit, Bill
%B Pervasive Computing
%D 2005
%E Gellersen, Hans W.
%E Want, Roy
%E Schmidt, Albrecht
%I Springer Berlin / Heidelberg
%K intel wlanpos
%P 116-133
%T Place Lab: Device Positioning Using Radio Beacons in the Wild
%U http://dx.doi.org/10.1007/11428572_8
%V 3468
%X Location awareness is an important capability for mobile computing. Yet inexpensive, pervasive positioning—a requirement for wide-scale adoption of location-aware computing—has been elusive. We demonstrate a radio beacon-based approach to location, called Place Lab, that can overcome the lack of ubiquity and high-cost found in existing location sensing approaches. Using Place Lab, commodity laptops, PDAs and cell phones estimate their position by listening for the cell IDs of fixed radio beacons, such as wireless access points, and referencing the beacons’ positions in a cached database. We present experimental results showing that 802.11 and GSM beacons are sufficiently pervasive in the greater Seattle area to achieve 20-30 meter median accuracy with nearly 100% coverage measured by availability in people’s daily lives.
@incollection{springerlink:10.1007/11428572_8,
abstract = {Location awareness is an important capability for mobile computing. Yet inexpensive, pervasive positioning—a requirement for wide-scale adoption of location-aware computing—has been elusive. We demonstrate a radio beacon-based approach to location, called Place Lab, that can overcome the lack of ubiquity and high-cost found in existing location sensing approaches. Using Place Lab, commodity laptops, PDAs and cell phones estimate their position by listening for the cell IDs of fixed radio beacons, such as wireless access points, and referencing the beacons’ positions in a cached database. We present experimental results showing that 802.11 and GSM beacons are sufficiently pervasive in the greater Seattle area to achieve 20-30 meter median accuracy with nearly 100% coverage measured by availability in people’s daily lives.},
added-at = {2010-10-13T18:29:20.000+0200},
affiliation = {Intel Research Seattle },
author = {LaMarca, Anthony and Chawathe, Yatin and Consolvo, Sunny and Hightower, Jeffrey and Smith, Ian and Scott, James and Sohn, Timothy and Howard, James and Hughes, Jeff and Potter, Fred and Tabert, Jason and Powledge, Pauline and Borriello, Gaetano and Schilit, Bill},
biburl = {https://www.bibsonomy.org/bibtex/2cedf95f7222f7bea982f5da898c61d2a/kw},
booktitle = {Pervasive Computing},
editor = {Gellersen, Hans W. and Want, Roy and Schmidt, Albrecht},
interhash = {1bb52f559c0bce7fa2b02c9b92836277},
intrahash = {cedf95f7222f7bea982f5da898c61d2a},
keywords = {intel wlanpos},
note = {10.1007/11428572_8},
pages = {116-133},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2010-10-13T18:29:20.000+0200},
title = {Place Lab: Device Positioning Using Radio Beacons in the Wild},
url = {http://dx.doi.org/10.1007/11428572_8},
volume = 3468,
year = 2005
}