{"id":"https://openalex.org/W3175439978","doi":"https://doi.org/10.1109/lwc.2021.3091896","title":"An Efficient Information Sampling Method for Multi-Category RFID Systems","display_name":"An Efficient Information Sampling Method for Multi-Category RFID Systems","publication_year":2021,"publication_date":"2021-06-23","ids":{"openalex":"https://openalex.org/W3175439978","doi":"https://doi.org/10.1109/lwc.2021.3091896","mag":"3175439978"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2021.3091896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2021.3091896","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-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/A5100689804","display_name":"Chu Chu","orcid":"https://orcid.org/0000-0003-2690-1846"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chu Chu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081705982","display_name":"Jianyu Niu","orcid":"https://orcid.org/0000-0001-5253-941X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jianyu Niu","raw_affiliation_strings":["School of Engineering, The University of British Columbia, Kelowna, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of British Columbia, Kelowna, BC, Canada","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024203854","display_name":"Hui Ma","orcid":"https://orcid.org/0000-0002-7107-810X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ma","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031137983","display_name":"Jian Su","orcid":"https://orcid.org/0000-0003-0634-4843"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Su","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936390","display_name":"Rui Xu","orcid":"https://orcid.org/0000-0002-6655-9400"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044089306","display_name":"Guangjun Wen","orcid":"https://orcid.org/0000-0002-7246-669X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjun Wen","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100689804"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.4048,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60232799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"9","first_page":"2056","last_page":"2060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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/T10986","display_name":"RFID technology advancements","score":0.9995999932289124,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8203420042991638},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5309317111968994},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5096142292022705},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48112884163856506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4699074625968933},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45571306347846985},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4107475280761719},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3461015224456787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18421894311904907},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16436800360679626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13292762637138367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1075698733329773},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08757895231246948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8203420042991638},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5309317111968994},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5096142292022705},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48112884163856506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4699074625968933},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45571306347846985},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4107475280761719},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3461015224456787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18421894311904907},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16436800360679626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13292762637138367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1075698733329773},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08757895231246948},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2021.3091896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2021.3091896","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3695520563","display_name":null,"funder_award_id":"2018AAA0103203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6951898558","display_name":null,"funder_award_id":"61971113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G945212731","display_name":null,"funder_award_id":"61901095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1639305476","https://openalex.org/W2132401136","https://openalex.org/W2133365802","https://openalex.org/W2236272925","https://openalex.org/W2755390963","https://openalex.org/W2904399914","https://openalex.org/W2911940095","https://openalex.org/W2916086000","https://openalex.org/W2936139320","https://openalex.org/W2945050073","https://openalex.org/W2971777189","https://openalex.org/W3004510015","https://openalex.org/W3145042860"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2588268827"],"abstract_inverted_index":{"In":[0,64],"Radio":[1],"Frequency":[2],"Identification":[3],"(RFID)":[4],"applications,":[5],"multiple":[6],"tags":[7,23,46,58,91],"may":[8],"be":[9,30],"deployed":[10],"on":[11],"the":[12,113],"same":[13],"object":[14],"or":[15,19],"area":[16],"for":[17],"security":[18],"precision":[20],"purposes.":[21],"These":[22],"carry":[24],"similar":[25],"information":[26,101],"and":[27,128],"so":[28],"can":[29,96],"grouped":[31],"into":[32],"a":[33,55,69,82,88],"category.":[34],"To":[35],"collect":[36],"such":[37],"information,":[38],"most":[39],"existing":[40,135],"works":[41],"have":[42],"to":[43,85],"query":[44],"all":[45],"in":[47,137],"each":[48,60,93],"category,":[49,94],"which":[50,95,119],"is":[51,62],"time-consuming.":[52],"However,":[53],"sampling":[54,76],"subset":[56,89],"of":[57,90],"from":[59,92,107],"category":[61],"sufficient.":[63],"this":[65],"letter,":[66],"we":[67,80,111],"propose":[68],"new":[70],"solution":[71],"called":[72],"arithmetic":[73,117],"coding":[74],"based":[75],"(ACS)":[77],"protocol.":[78],"Specifically,":[79],"construct":[81],"sparse":[83,114],"vector":[84,115],"sample":[86],"only":[87,98],"not":[97],"avoid":[99],"repetitive":[100],"collection":[102],"but":[103],"also":[104],"reduce":[105],"interference":[106],"unsampled":[108],"tags.":[109],"Moreover,":[110],"compress":[112],"through":[116],"coding,":[118],"significantly":[120],"reduces":[121],"its":[122],"transmission":[123],"time.":[124],"Both":[125],"theoretical":[126],"analysis":[127],"simulation":[129],"results":[130],"demonstrate":[131],"that":[132],"ACS":[133],"outperforms":[134],"solutions":[136],"time":[138],"efficiency.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
