{"id":"https://openalex.org/W2027272808","doi":"https://doi.org/10.1109/infcom.2010.5461944","title":"Counting RFID Tags Efficiently and Anonymously","display_name":"Counting RFID Tags Efficiently and Anonymously","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2027272808","doi":"https://doi.org/10.1109/infcom.2010.5461944","mag":"2027272808"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2010.5461944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2010.5461944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Proceedings IEEE INFOCOM","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/A5075507934","display_name":"Hao Han","orcid":"https://orcid.org/0000-0002-0936-4340"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Hao Han","raw_affiliation_strings":["College of William and Mary, Williamsburg, VA, USA","State Key Laboratory of Novel Software Technology, Nanjing University, China","College of William and Mary, Williamsburg, VA and State Key Laboratory of Novel Software Technology, Nanjing University, China#TAB#"],"affiliations":[{"raw_affiliation_string":"College of William and Mary, Williamsburg, VA, USA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"College of William and Mary, Williamsburg, VA and State Key Laboratory of Novel Software Technology, Nanjing University, China#TAB#","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085815921","display_name":"Bo Sheng","orcid":"https://orcid.org/0000-0001-5958-8935"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Sheng","raw_affiliation_strings":["Northeastern University, Boston, MA, USA","Northeastern University, Boston (MA)#TAB#"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northeastern University, Boston (MA)#TAB#","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829972","display_name":"Chiu C. Tan","orcid":"https://orcid.org/0000-0002-5758-6394"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiu C. Tan","raw_affiliation_strings":["College of William and Mary, Williamsburg, VA, USA",", College of William and Mary, Williamsburg, VA"],"affiliations":[{"raw_affiliation_string":"College of William and Mary, Williamsburg, VA, USA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":", College of William and Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426184","display_name":"Qun Li","orcid":"https://orcid.org/0000-0003-2231-6615"},"institutions":[{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]},{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qun Li","raw_affiliation_strings":["College of William and Mary, Williamsburg, VA, USA",", College of William and Mary, Williamsburg, VA"],"affiliations":[{"raw_affiliation_string":"College of William and Mary, Williamsburg, VA, USA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":", College of William and Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086524085","display_name":"Weizhen Mao","orcid":"https://orcid.org/0009-0001-7038-9803"},"institutions":[{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]},{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weizhen Mao","raw_affiliation_strings":["College of William and Mary, Williamsburg, VA, USA",", College of William and Mary, Williamsburg, VA"],"affiliations":[{"raw_affiliation_string":"College of William and Mary, Williamsburg, VA, USA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":", College of William and Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043533769","display_name":"Sanglu Lu","orcid":"https://orcid.org/0000-0003-1467-4519"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanglu Lu","raw_affiliation_strings":["State Key Laboratory of Novel Software Technology, Nanjing University, China","State Key Laboratory of Novel Software Technology, Nanjing University, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, China#TAB#","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075507934"],"corresponding_institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":26.2688,"has_fulltext":false,"cited_by_count":171,"citation_normalized_percentile":{"value":0.99705485,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9998999834060669,"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8094472289085388},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7580221891403198},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.6926034092903137},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6770185232162476},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5872421860694885},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5341775417327881},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5255714058876038},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5028690695762634},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47759532928466797},{"id":"https://openalex.org/keywords/identification-scheme","display_name":"Identification scheme","score":0.4452310800552368},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39661988615989685},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29996219277381897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29621708393096924},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2950803339481354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1623559594154358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094472289085388},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7580221891403198},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.6926034092903137},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6770185232162476},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5872421860694885},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5341775417327881},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5255714058876038},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5028690695762634},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47759532928466797},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.4452310800552368},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39661988615989685},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29996219277381897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29621708393096924},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2950803339481354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1623559594154358},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infcom.2010.5461944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2010.5461944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Proceedings IEEE INFOCOM","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.627","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.wm.edu/~wm/pub_10b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1485497075","https://openalex.org/W1491775036","https://openalex.org/W1495958990","https://openalex.org/W1518854552","https://openalex.org/W1559166296","https://openalex.org/W1785933978","https://openalex.org/W1977607856","https://openalex.org/W2017821960","https://openalex.org/W2018281194","https://openalex.org/W2031157660","https://openalex.org/W2067546761","https://openalex.org/W2074308254","https://openalex.org/W2096356985","https://openalex.org/W2101201152","https://openalex.org/W2101956636","https://openalex.org/W2107154877","https://openalex.org/W2112329986","https://openalex.org/W2128935842","https://openalex.org/W2132610958","https://openalex.org/W2133365802","https://openalex.org/W2149393733","https://openalex.org/W2150847784","https://openalex.org/W2153150656","https://openalex.org/W2160752465","https://openalex.org/W2163993204","https://openalex.org/W2164690908","https://openalex.org/W2166913120","https://openalex.org/W2167016696","https://openalex.org/W2801179766","https://openalex.org/W4246520098","https://openalex.org/W4300223101","https://openalex.org/W6629334145","https://openalex.org/W6674545269","https://openalex.org/W6675901656","https://openalex.org/W6679842219","https://openalex.org/W6732627094","https://openalex.org/W7000791799"],"related_works":["https://openalex.org/W52733585","https://openalex.org/W2387272121","https://openalex.org/W2372764048","https://openalex.org/W2800872028","https://openalex.org/W2378650763","https://openalex.org/W2133994567","https://openalex.org/W2164808481","https://openalex.org/W2100694577","https://openalex.org/W2095118908","https://openalex.org/W2365135670"],"abstract_inverted_index":{"Radio":[0],"Frequency":[1],"IDentification":[2],"(RFID)":[3],"technology":[4],"has":[5],"attracted":[6],"much":[7],"attention":[8],"due":[9],"to":[10,29],"its":[11],"variety":[12],"of":[13,34,74,81],"applications,":[14],"e.g.,":[15],"inventory":[16],"control":[17],"and":[18,52,62,90],"object":[19],"tracking.":[20],"One":[21],"important":[22],"problem":[23,43],"in":[24,48,83,101],"RFID":[25],"systems":[26],"is":[27],"how":[28],"quickly":[30],"estimate":[31],"the":[32,72,75,102],"number":[33],"distinct":[35],"tags":[36,82],"without":[37],"reading":[38],"each":[39],"tag":[40,66],"individually.":[41],"This":[42,69],"plays":[44],"a":[45,79,84],"crucial":[46],"role":[47],"many":[49],"real-time":[50],"monitoring":[51],"privacy-preserving":[53],"applications.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"an":[60],"efficient":[61],"anonymous":[63],"scheme":[64,70,96],"for":[65],"population":[67],"estimation.":[68],"leverages":[71],"position":[73],"first":[76],"reply":[77],"from":[78,87],"group":[80],"frame.":[85],"Results":[86],"mathematical":[88],"analysis":[89],"extensive":[91],"simulation":[92],"demonstrate":[93],"that":[94],"our":[95],"outperforms":[97],"other":[98],"protocols":[99],"proposed":[100],"previous":[103],"work.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":32},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":20}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}