{"id":"https://openalex.org/W1594783669","doi":"https://doi.org/10.1109/rfid.2015.7113066","title":"An improved dynamic framed slotted ALOHA Anti-collision algorithm based on estimation method for RFID systems","display_name":"An improved dynamic framed slotted ALOHA Anti-collision algorithm based on estimation method for RFID systems","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1594783669","doi":"https://doi.org/10.1109/rfid.2015.7113066","mag":"1594783669"},"language":"en","primary_location":{"id":"doi:10.1109/rfid.2015.7113066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid.2015.7113066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5101535733","display_name":"Ying Xu","orcid":"https://orcid.org/0009-0000-4385-9710"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Xu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","College of Computer Science and Electronic Engineering, HuNan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, HuNan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405126","display_name":"Yifan Chen","orcid":"https://orcid.org/0000-0001-7690-8590"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Chen","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","College of Computer Science and Electronic Engineering, HuNan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, HuNan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101535733"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":4.2093,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94545169,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":1.0,"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":1.0,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9958000183105469,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9908000230789185,"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/aloha","display_name":"Aloha","score":0.9880843162536621},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.848164975643158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030037879943848},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6930251717567444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.650798499584198},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6495047807693481},{"id":"https://openalex.org/keywords/collision-problem","display_name":"Collision problem","score":0.5100815892219543},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.4964774250984192},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4409814774990082},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.420790433883667},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.354037344455719},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.10681092739105225},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10508313775062561},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.085807204246521}],"concepts":[{"id":"https://openalex.org/C2776398200","wikidata":"https://www.wikidata.org/wiki/Q508880","display_name":"Aloha","level":4,"score":0.9880843162536621},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.848164975643158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030037879943848},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6930251717567444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.650798499584198},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6495047807693481},{"id":"https://openalex.org/C2780034591","wikidata":"https://www.wikidata.org/wiki/Q5147504","display_name":"Collision problem","level":3,"score":0.5100815892219543},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.4964774250984192},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4409814774990082},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.420790433883667},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.354037344455719},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.10681092739105225},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10508313775062561},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.085807204246521},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rfid.2015.7113066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid.2015.7113066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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":30,"referenced_works":["https://openalex.org/W1495958990","https://openalex.org/W1881440923","https://openalex.org/W1978764060","https://openalex.org/W1992752311","https://openalex.org/W1997964240","https://openalex.org/W1999633899","https://openalex.org/W2029666405","https://openalex.org/W2055458483","https://openalex.org/W2079667961","https://openalex.org/W2084946427","https://openalex.org/W2092969728","https://openalex.org/W2109211145","https://openalex.org/W2111620924","https://openalex.org/W2113684650","https://openalex.org/W2116736083","https://openalex.org/W2122096777","https://openalex.org/W2123603434","https://openalex.org/W2130052422","https://openalex.org/W2150847784","https://openalex.org/W2163772214","https://openalex.org/W2164348323","https://openalex.org/W2171283786","https://openalex.org/W2366973090","https://openalex.org/W2532473367","https://openalex.org/W2542906434","https://openalex.org/W4246520098","https://openalex.org/W4285719527","https://openalex.org/W6658120761","https://openalex.org/W6732627094","https://openalex.org/W7062055264"],"related_works":["https://openalex.org/W2324698249","https://openalex.org/W2122376181","https://openalex.org/W2532473367","https://openalex.org/W2376885945","https://openalex.org/W2003642651","https://openalex.org/W2901277377","https://openalex.org/W2358063016","https://openalex.org/W1717060041","https://openalex.org/W1999633899","https://openalex.org/W3199995003"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,60],"solve":[3],"the":[4,13,32,37,40,53,61,69,73,88,93,97],"collision":[5,47,62],"problems":[6],"between":[7,63],"multiple":[8,64],"RFID":[9,28],"tags":[10,44,58],"and":[11,49,96],"improve":[12],"identification":[14,94],"efficiency,":[15],"this":[16],"work":[17],"presents":[18],"an":[19],"improved":[20],"dynamic":[21],"framed":[22],"slotted":[23],"ALOHA":[24],"Anti-collision":[25],"algorithm":[26,38,82],"for":[27,56],"systems.":[29],"Based":[30],"on":[31],"time":[33,70,101],"slot":[34,48],"distribution":[35],"information,":[36],"estimates":[39],"average":[41],"number":[42,99],"of":[43,72,92,100],"in":[45,87,90],"each":[46],"then":[50],"dynamically":[51],"sets":[52],"frame":[54],"size":[55],"unrecognized":[57],"due":[59],"tags.":[65],"We":[66],"theoretically":[67],"analyzed":[68],"complexity":[71],"proposed":[74,81],"algorithm.":[75],"Simulation":[76],"results":[77],"demonstrate":[78],"that":[79],"our":[80],"outperforms":[83],"other":[84],"existing":[85],"algorithms":[86],"literature":[89],"terms":[91],"efficiency":[95],"total":[98],"slots.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-18T06:27:02.140700","created_date":"2025-10-10T00:00:00"}