dc.contributor.author | Calabrese, Francesco | |
dc.contributor.author | Reades, Jonathan | |
dc.contributor.author | Ratti, Carlo | |
dc.date.accessioned | 2010-03-12T17:21:58Z | |
dc.date.available | 2010-03-12T17:21:58Z | |
dc.date.issued | 2009-12 | |
dc.identifier.issn | 1536-1268 | |
dc.identifier.other | INSPEC Accession Number: 11049384 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/52542 | |
dc.description.abstract | Researchers use eigendecomposition to leverage MIT's Wi-Fi network activity data and analyze to the physical environment. We proposed a method to analyze and categorize wireless access points based on common usage characteristics that reflect real-world, placed-based behaviors. It uses eigendecomposition to study the Wi-Fi network at the Massahusetts Institute of Technology (MIT), correlating data generated as a byproduct of network activity with the physical environment. Our approach provides an instant survey of building use across the entire campus at a surprisingly fine-grained level. The resulting eigenplaces have implications for reseach across a range of wireless technology as well as potential applications in network planning, traffic and tourism management, and even marketing. | en |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers | en |
dc.relation.isversionof | http://doi.ieeecomputersociety.org/10.1109/MPRV.2009.62 | en |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en |
dc.source | author/dept web page | en |
dc.subject | Wi-Fi | en |
dc.subject | architectural space | en |
dc.subject | campus | en |
dc.subject | eigenplaces | en |
dc.subject | eigenvalues | en |
dc.subject | mobile environments | en |
dc.subject | mobile/wireless | en |
dc.subject | pervasive computing | en |
dc.subject | spectral signatures | en |
dc.subject | ubiquitous computing | en |
dc.subject | wireless communications | en |
dc.title | Eigenplaces: Segmenting Space Through Digital Signatures | en |
dc.type | Article | en |
dc.identifier.citation | Calabrese, F., J. Reades, and C. Ratti. “Eigenplaces: Segmenting Space through Digital Signatures.” Pervasive Computing, IEEE 9.1 (2010): 78-84. Print. © 2010 Institute of Electrical and Electronics Engineers | en |
dc.contributor.department | Massachusetts Institute of Technology. Department of Urban Studies and Planning | en_US |
dc.contributor.approver | Ratti, Carlo | |
dc.contributor.mitauthor | Calabrese, Francesco | |
dc.contributor.mitauthor | Ratti, Carlo | |
dc.relation.journal | IEEE Pervasive Computing | en |
dc.eprint.version | Final published version | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en |
dspace.orderedauthors | Calabrese, F.; Reades, J.; Ratti, C. | en |
dc.identifier.orcid | https://orcid.org/0000-0003-2026-5631 | |
mit.license | PUBLISHER_POLICY | en |
mit.metadata.status | Complete | |