{"id":"https://openalex.org/W2167006822","doi":"https://doi.org/10.1145/1555816.1555824","title":"Longitudinal study of a building-scale RFID ecosystem","display_name":"Longitudinal study of a building-scale RFID ecosystem","publication_year":2009,"publication_date":"2009-06-22","ids":{"openalex":"https://openalex.org/W2167006822","doi":"https://doi.org/10.1145/1555816.1555824","mag":"2167006822"},"language":"en","primary_location":{"id":"doi:10.1145/1555816.1555824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1555816.1555824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th international conference on Mobile systems, applications, and services","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066754620","display_name":"Evan Welbourne","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Evan Welbourne","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029847643","display_name":"Karl Koscher","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Koscher","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004864717","display_name":"Emad Soroush","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emad Soroush","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064988079","display_name":"Magdalena Ba\u0142azi\u0144ska","orcid":"https://orcid.org/0000-0002-6805-0325"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdalena Balazinska","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104065501","display_name":"Gaetano Borriello","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaetano Borriello","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066754620"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":7.4979,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.97240271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7725284695625305},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.679153561592102},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6092506051063538},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5650027394294739},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.5381558537483215},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5254541635513306},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5253495573997498},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4736924171447754},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4492654502391815},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4346386790275574},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32241159677505493},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.17929047346115112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1350313127040863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725284695625305},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.679153561592102},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6092506051063538},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5650027394294739},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5381558537483215},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5254541635513306},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5253495573997498},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4736924171447754},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4492654502391815},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4346386790275574},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32241159677505493},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.17929047346115112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1350313127040863},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1555816.1555824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1555816.1555824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th international conference on Mobile systems, applications, and services","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.4857","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.4857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rfid.cs.washington.edu/papers/mobisys-09-welbourne.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.5142","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.5142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homes.cs.washington.edu/~magda/papers/welbourne-mobisys09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W172137682","https://openalex.org/W1483307070","https://openalex.org/W1500078695","https://openalex.org/W1508861723","https://openalex.org/W1557494912","https://openalex.org/W1569705600","https://openalex.org/W1606626619","https://openalex.org/W1643892426","https://openalex.org/W1969198541","https://openalex.org/W1973794041","https://openalex.org/W1991045167","https://openalex.org/W1996544809","https://openalex.org/W2003637680","https://openalex.org/W2023349988","https://openalex.org/W2039308131","https://openalex.org/W2045656233","https://openalex.org/W2061056631","https://openalex.org/W2094734495","https://openalex.org/W2106096244","https://openalex.org/W2109067452","https://openalex.org/W2112329986","https://openalex.org/W2112630366","https://openalex.org/W2116832440","https://openalex.org/W2118271370","https://openalex.org/W2119081050","https://openalex.org/W2123430663","https://openalex.org/W2123931689","https://openalex.org/W2125838338","https://openalex.org/W2128587884","https://openalex.org/W2132610958","https://openalex.org/W2138166631","https://openalex.org/W2138727017","https://openalex.org/W2144550310","https://openalex.org/W2151530857","https://openalex.org/W2160494326","https://openalex.org/W2162830992","https://openalex.org/W2163191879","https://openalex.org/W2163993204","https://openalex.org/W2999214452","https://openalex.org/W4206076524","https://openalex.org/W4232383088","https://openalex.org/W6633247865","https://openalex.org/W6681534161"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Radio":[0],"Frequency":[1],"IDentification":[2],"(RFID)":[3],"deployments":[4,41],"are":[5,178],"becoming":[6],"increasingly":[7],"popular":[8],"in":[9,35,206],"both":[10],"industrial":[11],"and":[12,18,38,53,109,113,143,166,177,191,204,220],"consumer-oriented":[13],"settings.":[14],"To":[15,56],"effectively":[16,173],"exploit":[17],"operate":[19],"such":[20],"deployments,":[21],"important":[22],"challenges":[23],"must":[24,210],"be":[25,155,211],"addressed,":[26],"from":[27],"managing":[28,117],"RFID":[29,72,101,124],"data":[30,102,132],"streams":[31],"to":[32,50,154,172,183,195],"handling":[33],"limitations":[34],"reader":[36],"accuracy":[37],"coverage.":[39],"Furthermore,":[40],"that":[42,122,148],"support":[43],"pervasive":[44],"computing":[45],"raise":[46],"additional":[47],"issues":[48],"related":[49],"user":[51],"acceptance":[52],"system":[54],"utility.":[55],"better":[57],"understand":[58],"these":[59],"challenges,":[60],"we":[61],"conducted":[62],"a":[63,67,110,127],"four-week":[64],"study":[65],"of":[66,131,137,163],"building-scale":[68],"EPC":[69],"Class-1":[70],"Generation-2":[71],"deployment,":[73],"the":[74,90,99,149,161,207],"\"RFID":[75],"Ecosystem\",":[76],"with":[77,135,157,213],"47":[78],"readers":[79],"(160":[80],"antennas)":[81],"installed":[82],"throughout":[83],"an":[84,106],"8,000":[85],"square":[86],"meter":[87],"building.":[88],"During":[89],"study,":[91],"67":[92],"participants":[93,142],"having":[94],"over":[95,202],"300":[96],"tags":[97,176,185],"accessed":[98],"collected":[100],"through":[103],"applications":[104,182,199],"including":[105],"object":[107],"finder":[108],"friend":[111],"tracker":[112],"several":[114],"tools":[115],"for":[116],"personal":[118],"data.":[119],"We":[120,145],"found":[121],"our":[123],"deployment":[125],"produces":[126],"very":[128],"manageable":[129],"amount":[130],"overall,":[133],"but":[134,209],"orders":[136],"magnitude":[138],"difference":[139],"among":[140],"various":[141],"objects.":[144],"also":[146],"find":[147],"tag":[150],"detection":[151],"rates":[152],"tend":[153],"low":[156],"high":[158],"variance":[159],"across":[160],"type":[162],"tag,":[164],"participant":[165],"object.":[167],"Users":[168],"need":[169],"expert":[170],"guidance":[171],"mount":[174],"their":[175],"encouraged":[179],"by":[180,200],"compelling":[181],"wear":[184],"more":[186,197],"frequently.":[187],"Finally,":[188],"probabilistic":[189],"modeling":[190],"inference":[192],"techniques":[193],"promise":[194],"enable":[196],"complex":[198],"smoothing":[201],"gaps":[203],"errors":[205],"data,":[208],"applied":[212],"care":[214],"as":[215],"they":[216],"add":[217],"significant":[218],"computational":[219],"storage":[221],"overhead.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
