{"id":"https://openalex.org/W3168934283","doi":"https://doi.org/10.1109/rfid52461.2021.9444387","title":"Towards Parallel Decoding with Compressive Sensing in Multi-Reader Large-Scale RFID System","display_name":"Towards Parallel Decoding with Compressive Sensing in Multi-Reader Large-Scale RFID System","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3168934283","doi":"https://doi.org/10.1109/rfid52461.2021.9444387","mag":"3168934283"},"language":"en","primary_location":{"id":"doi:10.1109/rfid52461.2021.9444387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid52461.2021.9444387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on RFID (RFID)","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/A5039773171","display_name":"Wei Sun","orcid":"https://orcid.org/0009-0006-3333-7672"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Sun","raw_affiliation_strings":["Ohio State University"],"affiliations":[{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039773171"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.4011,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59641753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9994999766349792,"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/T12791","display_name":"Full-Duplex Wireless Communications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8421433568000793},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7510461211204529},{"id":"https://openalex.org/keywords/aloha","display_name":"Aloha","score":0.7292726039886475},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6285803914070129},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5317522287368774},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.49903392791748047},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.47359755635261536},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.4549637734889984},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4253047704696655},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35360389947891235},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.33235061168670654},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2254132628440857},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1619051992893219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10083642601966858},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0955110490322113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09426495432853699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8421433568000793},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7510461211204529},{"id":"https://openalex.org/C2776398200","wikidata":"https://www.wikidata.org/wiki/Q508880","display_name":"Aloha","level":4,"score":0.7292726039886475},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6285803914070129},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5317522287368774},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.49903392791748047},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.47359755635261536},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.4549637734889984},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4253047704696655},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35360389947891235},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.33235061168670654},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2254132628440857},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1619051992893219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10083642601966858},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0955110490322113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09426495432853699},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rfid52461.2021.9444387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid52461.2021.9444387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on RFID (RFID)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1967188786","https://openalex.org/W1972843362","https://openalex.org/W1987923258","https://openalex.org/W1990170494","https://openalex.org/W2010411218","https://openalex.org/W2083517231","https://openalex.org/W2097938092","https://openalex.org/W2100148120","https://openalex.org/W2102393163","https://openalex.org/W2104309106","https://openalex.org/W2105144556","https://openalex.org/W2123110660","https://openalex.org/W2129638195","https://openalex.org/W2133301447","https://openalex.org/W2163278169","https://openalex.org/W2164452299","https://openalex.org/W2296616510","https://openalex.org/W2417794885","https://openalex.org/W2848213586","https://openalex.org/W2909720306","https://openalex.org/W2920529484","https://openalex.org/W3004350858","https://openalex.org/W3044503975","https://openalex.org/W3095061236","https://openalex.org/W3095717167","https://openalex.org/W3126800196","https://openalex.org/W4247616652","https://openalex.org/W4250126788","https://openalex.org/W4250955649","https://openalex.org/W4251944996","https://openalex.org/W6760383859","https://openalex.org/W6780753924"],"related_works":["https://openalex.org/W3107843154","https://openalex.org/W3096989448","https://openalex.org/W4366501345","https://openalex.org/W2105128603","https://openalex.org/W2373838515","https://openalex.org/W1996652759","https://openalex.org/W3192248241","https://openalex.org/W3090994729","https://openalex.org/W1717060041","https://openalex.org/W2003642651"],"abstract_inverted_index":{"The":[0],"commodity":[1],"passive":[2],"RFID":[3,27,41,77,95,188],"system":[4],"employs":[5],"slotted":[6],"ALOHA":[7],"protocol":[8],"to":[9,84,101,119,148,161,165],"interrogate":[10],"the":[11,14,31,35,103,121,133,140,149],"tags":[12,59,107,130,168],"within":[13],"reader's":[15],"communication":[16],"range.":[17],"So,":[18,64],"at":[19,60,108,142],"each":[20,61,143],"time":[21,62,144],"slot,":[22],"there":[23,73,126],"is":[24,66,99],"only":[25,54],"one":[26,109],"tag":[28],"communicating":[29],"with":[30,88,170],"reader.":[32],"This":[33],"degrades":[34],"network":[36],"throughput,":[37],"especially":[38],"in":[39,132,185],"large-scale":[40,94,187],"deployments":[42],"such":[43],"as":[44],"warehouses.":[45],"Recently,":[46],"parallel":[47,86,183],"decoding":[48,87,184],"techniques":[49],"are":[50,74,127],"proposed,":[51],"which":[52],"can":[53,158,180],"read":[55],"less":[56],"than":[57],"ten":[58],"slot.":[63],"it":[65,98],"not":[67,138],"applicable":[68],"for":[69,92],"warehouse":[70],"applications,":[71],"where":[72],"thousands":[75,128],"of":[76,129,155],"tags.":[78],"In":[79],"this":[80,152],"paper,":[81],"we":[82,111,117],"propose":[83],"achieve":[85,182],"compressive":[89,163,178],"sensing":[90,164,179],"technique":[91],"multi-reader":[93,186],"system.":[96,189],"Since":[97],"difficult":[100],"decode":[102,166],"collisions":[104],"from":[105],"multiple":[106,114,167,171],"reader,":[110],"distributively":[112],"deploy":[113],"readers.":[115,172],"However,":[116],"have":[118],"consider":[120],"inter-reader":[122],"interference.":[123],"Even":[124],"though":[125],"deployed":[131],"large":[134],"warehouse,":[135],"they":[136],"may":[137],"backscatter":[139],"signals":[141,157],"slot":[145],"simultaneously":[146,169],"due":[147],"heterogeneity.":[150],"Therefore,":[151],"sparsity":[153],"property":[154],"backscattering":[156],"allow":[159],"us":[160],"leverage":[162],"Our":[173],"simulation":[174],"results":[175],"reveal":[176],"that":[177],"efficiently":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
