Scalable, Ad Hoc Deployable, RF-Based Localization. Bulusu, N., Bychkovskiy, V., Estrin, D., & Heidemann, J. In Proceedings of the Grace Hopper Celebration of Women in Computing, Vancouver, British Columbia, Canada, October, 2002. Institute for Women and Technology. ![Scalable, Ad Hoc Deployable, RF-Based Localization [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Spatial localization or the ability to locate nodes is an important building block for next generation pervasive computing systems, but a formidable challenge, particularly, for very small hardware and energy constrained devices, for noisy, unpredictable environments and for very large ad hoc deployed and networked systems. In this paper, we describe, validate and evaluate in real environments a very simple \emphself localization methodology for RF-based devices based only on RF-connectivity constraints to a set of beacons (known nodes), applicable outdoors. Beacon placement has a significant impact on the localization quality in these systems. To self-configure and adapt the localization in noisy environments with unpredictable radio propagation vagaries, we introduce the novel concept of \emphadaptive beacon placement. We propose several novel and density adaptive algorithms for beacon placement and demonstrate their effectiveness through evaluations. We also outline an approach in which beacons leverage a software controllable variable transmit power capability to further improve localization granularity. These combined features allow a localization system that is scalable and ad hoc deployable, long-lived and robust to noisy environments. The unique aspect of our localization approach is our emphasis on \emphadaptive self-configuration.
@InProceedings{Bulusu02a,
author = "Nirupama Bulusu and Vladimir Bychkovskiy and Deborah Estrin and John Heidemann",
title = "Scalable, Ad Hoc Deployable, RF-Based Localization",
booktitle = "Proceedings of the " # "Grace Hopper Celebration of Women in Computing",
year = 2002,
sortdate = "2002-10-01",
project = "ilense, scadds, scowr, nocredit",
jsubject = "sensornet_localization",
publisher = "Institute for Women and Technology",
address = "Vancouver, British Columbia, Canada",
month = oct,
xxxpages = "no paper proceedings",
location = "johnh: folder: xxx",
location = "johnh: pafile",
keywords = "subset of journal paper, localization",
otherurl = "http://www.cs.ucla.edu/%7ebulusu/papers/Bulusu02a.html",
url = "http://www.isi.edu/%7ejohnh/PAPERS/Bulusu02a.html",
pdfurl = "http://www.isi.edu/%7ejohnh/PAPERS/Bulusu02a.pdf",
copyrightholder = "authors",
myorganization = "USC/Information Sciences Institute",
abstract = "
Spatial localization or the ability to locate nodes is an important
building block for next generation pervasive computing systems, but a
formidable challenge, particularly, for very small hardware and energy
constrained devices, for noisy, unpredictable environments and for
very large ad hoc deployed and networked systems. In this paper, we
describe, validate and evaluate in real environments a very
simple \emph{self} localization methodology for RF-based devices based
only on RF-connectivity constraints to a set of beacons (known nodes),
applicable outdoors. Beacon placement has a significant impact on the
localization quality in these systems. To self-configure and adapt the
localization in noisy environments with unpredictable radio
propagation vagaries, we introduce the novel concept of \emph{adaptive
beacon placement}. We propose several novel and density adaptive
algorithms for beacon placement and demonstrate their effectiveness
through evaluations. We also outline an approach in which beacons
leverage a software controllable variable transmit power capability to
further improve localization granularity. These combined features
allow a localization system that is scalable and ad hoc deployable,
long-lived and robust to noisy environments. The unique aspect of our
localization approach is our emphasis on \emph{adaptive
self-configuration}.
",
}
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The unique aspect of our localization approach is our emphasis on \\emphadaptive self-configuration. 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In this paper, we\n describe, validate and evaluate in real environments a very\n simple \\emph{self} localization methodology for RF-based devices based\n only on RF-connectivity constraints to a set of beacons (known nodes),\n applicable outdoors. Beacon placement has a significant impact on the\n localization quality in these systems. To self-configure and adapt the\n localization in noisy environments with unpredictable radio\n propagation vagaries, we introduce the novel concept of \\emph{adaptive\n beacon placement}. We propose several novel and density adaptive\n algorithms for beacon placement and demonstrate their effectiveness\n through evaluations. We also outline an approach in which beacons\n leverage a software controllable variable transmit power capability to\n further improve localization granularity. These combined features\n allow a localization system that is scalable and ad hoc deployable,\n long-lived and robust to noisy environments. 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