Practical robust localization over large-scale 802.11 wireless networks

By Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd, Algis Rudys, D. Wallach, Lydia E. Kavraki. 2004

833 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

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Citations in the corpus

A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned (2015, background): “Note that the deployment of 10 dedicated WiFi access points created a bias in favor of all systems in the infrastructurefree category.”
Accurate GSM Indoor Localization (2005, methodology): “There have been improvements to RADAR’s fingerprint matching algorithm that have improved accuracy [2,11,17] and differentiated floors of a building with a high degree of precision [ 6 ].”
BreadCrumbs: forecasting mobile connectivity (2008, background): “Other work focuses on indoor localization at very small scales, either by deploying custom hardware [24] or mapping existing WiFi beacon sources [11].”
Gaussian Processes for Signal Strength-Based Location Estimation (2006, background): “They later showed that replacing the histograms by Gaussians requires smaller training sets and results in better localization performance [4].”
A comparative survey of WLAN location fingerprinting methods (2009, methodology): “The idea in the probabilistic framework is to compute the conditional pdf px|y(x|y) , p(x|y) (posterior) of the state x given measurements y = y.”
You are facing the Mona Lisa: spot localization using PHY layer information (2012, neutral): “We speculate that cross-platform calibration would be necessary, similar to existing RSSI based schemes [7,18].”
The Horus location determination system (2008, background): “The good news is that a linear mapping exists between different NICs [ 18 ].”
ArrayTrack: A Fine-Grained Indoor Location System (2011, neutral): “While some work has attempted to reduce the calibration overhead [12], mapping generally requires significant calibration effort.”
Pedestrian localisation for indoor environments (2008, methodology): “In one of the few large-scale deployments of an RF-based location system, 28 man-hours were required to construct a radio map covering a 12, 000 m(2) building [35].”
Detecting identity-based attacks in wireless networks using signalprints (2006, neutral): “[11], and the Horus system [24].”
Sub-meter indoor localization in unmodified environments with inexpensive sensors (2010, background): “Localization with signal-strength mechanisms such as WiFi have been studied in the literature as well [17], [18], [19], [20], [21], including systems that bootstrap automatically without an explicit mapmaking step [22], [23].”