{"id":"https://openalex.org/W2146529759","doi":"https://doi.org/10.1109/icccn.2009.5235285","title":"PTS: A Probability-Based Tag Selection Algorithm for RFID Systems with Recurring Readings","display_name":"PTS: A Probability-Based Tag Selection Algorithm for RFID Systems with Recurring Readings","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2146529759","doi":"https://doi.org/10.1109/icccn.2009.5235285","mag":"2146529759"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2009.5235285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2009.5235285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Proceedings of 18th International Conference on Computer Communications and Networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045991464","display_name":"Lei Pan","orcid":"https://orcid.org/0000-0002-4691-8330"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]},{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Pan","raw_affiliation_strings":["Center of Computation and Technology (CCT), Louisiana State University (LSU) and CACS, ULL, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Computation and Technology (CCT), Louisiana State University (LSU) and CACS, ULL, Lafayette, LA, USA","institution_ids":["https://openalex.org/I121820613","https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061078522","display_name":"Hongyi Wu","orcid":"https://orcid.org/0000-0001-8596-1342"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyi Wu","raw_affiliation_strings":["Center of Advanced Computer Studies (CACS), University of Louisiana, Lafayette, Lafayette, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Advanced Computer Studies (CACS), University of Louisiana, Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.995199978351593,"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":0.8930890560150146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7840052843093872},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6794780492782593},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6716430187225342},{"id":"https://openalex.org/keywords/arbitration","display_name":"Arbitration","score":0.6314937472343445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.546816349029541},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4961601197719574},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41674357652664185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3556990623474121},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.3548017144203186},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2279067039489746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12569811940193176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11499100923538208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08462265133857727},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07597550749778748},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.06257688999176025}],"concepts":[{"id":"https://openalex.org/C2776398200","wikidata":"https://www.wikidata.org/wiki/Q508880","display_name":"Aloha","level":4,"score":0.8930890560150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840052843093872},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6794780492782593},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6716430187225342},{"id":"https://openalex.org/C160151201","wikidata":"https://www.wikidata.org/wiki/Q207946","display_name":"Arbitration","level":2,"score":0.6314937472343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.546816349029541},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4961601197719574},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41674357652664185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3556990623474121},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3548017144203186},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2279067039489746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12569811940193176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11499100923538208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08462265133857727},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07597550749778748},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.06257688999176025},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2009.5235285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2009.5235285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Proceedings of 18th International Conference on Computer Communications and Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1495958990","https://openalex.org/W1518854552","https://openalex.org/W2031157660","https://openalex.org/W2039308131","https://openalex.org/W2074308254","https://openalex.org/W2111620924","https://openalex.org/W2116736083","https://openalex.org/W2118835267","https://openalex.org/W2144503234","https://openalex.org/W2144942884","https://openalex.org/W2150847784","https://openalex.org/W2164690908","https://openalex.org/W2167016696","https://openalex.org/W2167079604","https://openalex.org/W6658202128"],"related_works":["https://openalex.org/W2354394296","https://openalex.org/W2020802031","https://openalex.org/W2546631405","https://openalex.org/W2371389691","https://openalex.org/W2360818723","https://openalex.org/W2383760347","https://openalex.org/W2032144233","https://openalex.org/W2351436954","https://openalex.org/W2386918788","https://openalex.org/W2100134104"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,22,81,174],"novel":[3],"tag":[4,12,24,61,69,138],"selection":[5,139],"algorithm":[6,35,107],"to":[7,54,132],"improve":[8],"the":[9,19,28,32,56,65,73,89,92,98,111,119,125,134,141,147,154,165,170,179],"efficiency":[10],"of":[11,31,67,137],"arbitration":[13,166,171],"in":[14,27,52,80,97,140],"RFID":[15,99,112],"systems.":[16],"Based":[17],"on":[18,118,124],"probability":[20],"that":[21,161],"given":[23,175],"is":[25,108,130],"located":[26],"sensing":[29],"range":[30],"reader,":[33],"our":[34,150],"involves":[36],"two":[37],"steps.":[38],"First,":[39],"tags":[40],"with":[41,88,110,114,173,178],"higher":[42],"probabilities":[43],"are":[44,86],"selected":[45],"and":[46,63,121,168,181],"directly":[47],"arbitrated":[48,87],"by":[49,59],"their":[50],"IDs,":[51],"order":[53],"eliminate":[55],"collisions":[57],"caused":[58],"multiple":[60],"replies":[62],"reduce":[64],"number":[66],"empty":[68],"replies.":[70],"And":[71],"then,":[72],"remaining":[74],"unidentified":[75],"tags,":[76],"which":[77],"will":[78],"be":[79],"small":[82],"quantity":[83],"if":[84],"any,":[85],"Query-Tree":[90,180],"or":[91],"frame-slotted":[93,182],"Aloha":[94,183],"protocols":[95],"specified":[96],"standards.":[100],"Our":[101],"proposed":[102],"Probability-based":[103],"Tag":[104],"Selection":[105],"(PTS)":[106],"compatible":[109],"standards":[113],"very":[115],"minor":[116],"modification":[117],"readers":[120],"no":[122],"changes":[123],"tags.":[126],"An":[127],"analytical":[128],"model":[129,151],"constructed":[131],"find":[133],"optimal":[135,155],"threshold":[136,156],"first":[142],"step.":[143],"The":[144],"simulation":[145],"shows":[146],"result":[148],"from":[149],"nicely":[152],"represents":[153],"value.":[157],"It":[158],"further":[159],"demonstrates":[160],"PTS":[162],"significantly":[163],"reduces":[164],"delay":[167],"improves":[169],"rate":[172],"budget,":[176],"comparing":[177],"protocols.":[184]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
