{"id":"https://openalex.org/W4315777470","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008639","title":"Non-linear Information Freshness in Large Scale Random Access Networks","display_name":"Non-linear Information Freshness in Large Scale Random Access Networks","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315777470","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008639"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008639","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008639","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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":false,"raw_author_name":"Zhiling Yue","raw_affiliation_strings":["ZJU-UIUC Institute, Zhejiang University,Haining,China,314400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University,Haining,China,314400","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, Zhejiang University,Haining,China,314400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University,Haining,China,314400","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, Zhejiang University,Haining,China,314400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZJU-UIUC Institute, Zhejiang University,Haining,China,314400","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":["Linköping University,Dept. of Computer and Information Science,Linköping,Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linköping University,Dept. of Computer and Information Science,Linköping,Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8567,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69958506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1675","last_page":"1680"},"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13471","display_name":"Cognitive Functions and Memory","score":0.9090999960899353,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7600203156471252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7129293084144592},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6233593821525574},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.5982482433319092},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.5752683281898499},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5397499799728394},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4974110424518585},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4495488703250885},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4013500213623047},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.349758505821228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32664260268211365},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2441047728061676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1517634391784668},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14514362812042236},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11845928430557251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08123216032981873}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7600203156471252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129293084144592},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6233593821525574},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.5982482433319092},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.5752683281898499},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5397499799728394},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4974110424518585},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4495488703250885},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4013500213623047},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.349758505821228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32664260268211365},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2441047728061676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1517634391784668},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14514362812042236},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11845928430557251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08123216032981873},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/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/gcwkshps56602.2022.10008639","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008639","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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":19,"referenced_works":["https://openalex.org/W1640283668","https://openalex.org/W1993918491","https://openalex.org/W2076352971","https://openalex.org/W2104557602","https://openalex.org/W2147524058","https://openalex.org/W2744248483","https://openalex.org/W2944162855","https://openalex.org/W2963436339","https://openalex.org/W2996238281","https://openalex.org/W3007745140","https://openalex.org/W3017345035","https://openalex.org/W3118592785","https://openalex.org/W3137257456","https://openalex.org/W3176460270","https://openalex.org/W3180974649","https://openalex.org/W3204234466","https://openalex.org/W3204258145","https://openalex.org/W4205984110","https://openalex.org/W4211024811"],"related_works":["https://openalex.org/W2784117976","https://openalex.org/W1012963680","https://openalex.org/W4400073383","https://openalex.org/W4361804730","https://openalex.org/W4319996414","https://openalex.org/W2474679230","https://openalex.org/W4302777364","https://openalex.org/W2963304593","https://openalex.org/W2142113611","https://openalex.org/W2334467465"],"abstract_inverted_index":{"We":[0,57,75,96],"consider":[1],"a":[2,31,81],"random":[3],"access":[4],"network":[5,116,160],"where":[6],"source":[7],"nodes":[8],"generate":[9],"and":[10,157],"transmit":[11],"timely":[12],"status":[13],"updates":[14],"to":[15,37,49,140,152],"their":[16],"intended":[17],"receivers.":[18],"Instead":[19],"of":[20,25,34,41,83,88,129,138],"the":[21,39,47,63,111,115,120,125,130,136,141,154,158],"conventionally":[22],"adopted":[23],"Age":[24],"Information":[26],"(AoI)":[27],"metric,":[28],"we":[29,134],"employ":[30],"non-linear":[32],"function":[33],"AoI,":[35],"referred":[36],"as":[38],"Cost":[40],"Update":[42],"Delay":[43],"(CoUD)":[44],"that":[45,98,109],"captures":[46],"sensitivity":[48,137],"information":[50,127],"staleness":[51],"based":[52],"on":[53,150],"different":[54,145],"ageing":[55],"properties.":[56],"derive":[58],"an":[59,105],"analytical":[60,90],"expression":[61],"for":[62,80],"CoUD":[64,139],"under":[65,144],"general":[66],"cost":[67,84,146,155],"functions":[68,156],"by":[69],"leveraging":[70],"tools":[71],"from":[72],"stochastic":[73],"geometry.":[74],"provide":[76],"several":[77],"closed-form":[78],"results":[79,91],"family":[82],"functions.":[85],"The":[86],"accuracy":[87],"our":[89],"is":[92,117],"verified":[93],"through":[94],"simulations.":[95],"observe":[97],"in":[99],"densely":[100],"deployed":[101],"networks":[102],"there":[103],"exists":[104],"optimal":[106],"update":[107,121],"rate":[108,122],"minimizes":[110],"CoUD.":[112],"Conversely,":[113],"if":[114],"sparse,":[118],"increasing":[119],"always":[123],"benefits":[124],"average":[126],"freshness":[128],"network.":[131],"In":[132],"addition,":[133],"simulate":[135],"networking":[142],"parameters":[143],"functions,":[147],"providing":[148],"insights":[149],"how":[151],"choose":[153],"design":[159],"parameters.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}