{"id":"https://openalex.org/W4386072125","doi":"https://doi.org/10.1109/isit54713.2023.10206703","title":"Age of Information Under Frame Slotted ALOHA in Random Access Networks","display_name":"Age of Information Under Frame Slotted ALOHA in Random Access Networks","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386072125","doi":"https://doi.org/10.1109/isit54713.2023.10206703"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5063025391","display_name":"Zhiling Yue","orcid":"https://orcid.org/0009-0006-5425-0146"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiling Yue","raw_affiliation_strings":["ZJU-UIUC Institute of Zhejiang University,Haining,China,718"],"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute of Zhejiang University,Haining,China,718","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061641468","display_name":"Howard H. Yang","orcid":"https://orcid.org/0000-0002-0256-2416"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Howard H. Yang","raw_affiliation_strings":["ZJU-UIUC Institute of Zhejiang University,Haining,China,718"],"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute of Zhejiang University,Haining,China,718","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437745","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0002-4893-6946"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["ZJU-UIUC Institute of Zhejiang University,Haining,China,718"],"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute of Zhejiang University,Haining,China,718","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084740578","display_name":"\u039d\u03b9\u03ba\u03cc\u03bb\u03b1\u03bf\u03c2 \u03a0\u03b1\u03c0\u03c0\u03ac\u03c2","orcid":"https://orcid.org/0000-0003-4416-7702"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Nikolaos Pappas","raw_affiliation_strings":["Link&#x00F6;ping University,Dept. of Computer and Information Science,Link&#x00F6;ping,Sweden,581 83"],"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University,Dept. of Computer and Information Science,Link&#x00F6;ping,Sweden,581 83","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063025391"],"corresponding_institution_ids":["https://openalex.org/I4210158570"],"apc_list":null,"apc_paid":null,"fwci":0.6002,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68652967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"969","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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"}},{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9818000197410583,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9305999875068665,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/aloha","display_name":"Aloha","score":0.9453328847885132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8087302446365356},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.7415771484375},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6897904872894287},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.6867010593414307},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6164008378982544},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.603121280670166},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.548796534538269},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.540554404258728},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3327426314353943},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.29975414276123047},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1458437442779541},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12993979454040527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11015284061431885},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08147677779197693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08138981461524963},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0734315812587738}],"concepts":[{"id":"https://openalex.org/C2776398200","wikidata":"https://www.wikidata.org/wiki/Q508880","display_name":"Aloha","level":4,"score":0.9453328847885132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8087302446365356},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.7415771484375},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6897904872894287},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.6867010593414307},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6164008378982544},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.603121280670166},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.548796534538269},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.540554404258728},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3327426314353943},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.29975414276123047},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1458437442779541},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12993979454040527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11015284061431885},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08147677779197693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08138981461524963},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0734315812587738},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W635250944","https://openalex.org/W1640283668","https://openalex.org/W2343375973","https://openalex.org/W2626444157","https://openalex.org/W2891221823","https://openalex.org/W2963436339","https://openalex.org/W2995485083","https://openalex.org/W3044209767","https://openalex.org/W3048867093","https://openalex.org/W3080752339","https://openalex.org/W3105034684","https://openalex.org/W3118592785","https://openalex.org/W3204234466","https://openalex.org/W3208711628","https://openalex.org/W4211024811","https://openalex.org/W4211209619","https://openalex.org/W4315777470","https://openalex.org/W4381302928","https://openalex.org/W6620556582","https://openalex.org/W6803162225"],"related_works":["https://openalex.org/W2740103453","https://openalex.org/W2767687907","https://openalex.org/W2543616084","https://openalex.org/W4302323979","https://openalex.org/W4234150174","https://openalex.org/W1766726551","https://openalex.org/W2909001135","https://openalex.org/W2952266750","https://openalex.org/W2123879133","https://openalex.org/W2392999663"],"abstract_inverted_index":{"We":[0,24,77],"propose":[1],"a":[2,20,30,86,116,127],"frame":[3],"slotted":[4,117],"ALOHA":[5,118],"(FSA)-based":[6],"protocol":[7,31,102,119],"for":[8,81],"source":[9],"nodes":[10],"to":[11,51,74,126],"update":[12],"status":[13,100],"information":[14],"toward":[15],"their":[16],"intended":[17],"destinations":[18],"in":[19,94,129],"random":[21],"access":[22],"network.":[23],"evaluate":[25],"the":[26,33,38,53,57,62,65,70,82,98,106,111,130],"effect":[27],"of":[28,40,56],"such":[29],"on":[32],"network\u2019s":[34],"timeliness":[35],"performance":[36],"using":[37],"Age":[39],"Information":[41],"(AoI)":[42],"metric.":[43],"Specifically,":[44],"we":[45],"leverage":[46],"tools":[47],"from":[48],"stochastic":[49],"geometry":[50],"model":[52],"geographical":[54],"positions":[55],"source-destination":[58],"pairs":[59],"and":[60],"capture":[61],"entanglement":[63],"amongst":[64],"nodes\u2019":[66],"spatial-temporal":[67],"attributes":[68],"through":[69],"interference":[71],"they":[72],"caused":[73],"each":[75],"other.":[76],"derive":[78],"closed-form":[79],"expressions":[80],"average":[83,107,131],"AoI":[84],"over":[85],"typical":[87],"transmission":[88],"link.":[89],"Our":[90],"analysis":[91],"shows":[92],"that":[93],"densely":[95],"deployed":[96],"networks,":[97],"FSA-based":[99,122],"updating":[101,113],"can":[103],"significantly":[104],"decrease":[105],"AoI.":[108,132],"Furthermore,":[109],"under":[110],"same":[112],"frequency,":[114],"converting":[115],"into":[120],"an":[121],"one":[123],"always":[124],"leads":[125],"reduction":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
