{"id":"https://openalex.org/W7139019547","doi":"https://doi.org/10.1109/globecom59602.2025.11432452","title":"Perception Messages in Vehicular Networks: A Joint Analysis of Transmission Cost, Peak AoI, and Autocorrelation of Message Size","display_name":"Perception Messages in Vehicular Networks: A Joint Analysis of Transmission Cost, Peak AoI, and Autocorrelation of Message Size","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7139019547","doi":"https://doi.org/10.1109/globecom59602.2025.11432452"},"language":"en","primary_location":{"id":"doi:10.1109/globecom59602.2025.11432452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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/A5114159951","display_name":"Mattia Andreani","orcid":null},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]},{"id":"https://openalex.org/I4210161797","display_name":"Ferrari (Italy)","ror":"https://ror.org/05p859a12","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210161797"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Andreani","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy,41125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy,41125","institution_ids":["https://openalex.org/I122346577","https://openalex.org/I4210161797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014500056","display_name":"Maria Luisa Merani","orcid":"https://orcid.org/0000-0003-4162-5042"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]},{"id":"https://openalex.org/I4210161797","display_name":"Ferrari (Italy)","ror":"https://ror.org/05p859a12","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210161797"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Luisa Merani","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy,41125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering \"Enzo Ferrari\",Modena,Italy,41125","institution_ids":["https://openalex.org/I122346577","https://openalex.org/I4210161797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055547076","display_name":"Andr\u00e1s Horv\u00e1th","orcid":"https://orcid.org/0000-0002-8210-545X"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andr\u00e1s Horv\u00e1th","raw_affiliation_strings":["University of Turin,Department of Computer Science,Turin,Italy,10149"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turin,Department of Computer Science,Turin,Italy,10149","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057340594","display_name":"Matteo Sereno","orcid":"https://orcid.org/0000-0002-5339-3456"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Sereno","raw_affiliation_strings":["University of Turin,Department of Computer Science,Turin,Italy,10149"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turin,Department of Computer Science,Turin,Italy,10149","institution_ids":["https://openalex.org/I55143463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"1016","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9394000172615051,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9394000172615051,"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/T13553","display_name":"Age of Information Optimization","score":0.023099999874830246,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.006000000052154064,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/autocorrelation","display_name":"Autocorrelation","score":0.8111000061035156},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.6500999927520752},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.6449000239372253},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5976999998092651},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.527899980545044},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5012999773025513},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.489300012588501},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4828999936580658},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45260000228881836}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8111000061035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779999732971191},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.6500999927520752},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.6449000239372253},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5976999998092651},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.527899980545044},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5012999773025513},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.33809998631477356},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3273000121116638},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C187825244","wikidata":"https://www.wikidata.org/wiki/Q372071","display_name":"Probability-generating function","level":4,"score":0.2782999873161316},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.257999986410141},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom59602.2025.11432452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unimore.it:11380/1399850","is_oa":false,"landing_page_url":"https://hdl.handle.net/11380/1399850","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2010841362","https://openalex.org/W2146487252","https://openalex.org/W3126365018","https://openalex.org/W3137257456","https://openalex.org/W3166592908","https://openalex.org/W4378978428","https://openalex.org/W4386952200","https://openalex.org/W4388966563","https://openalex.org/W4391341160","https://openalex.org/W4396853479"],"related_works":[],"abstract_inverted_index":{"This":[0,160],"paper":[1],"addresses":[2],"the":[3,6,26,30,34,39,43,71,77,81,86,91,100,102,107,132,136,146,164],"optimization":[4],"of":[5,18,25,42,68,80,83,93,104,109,135,145,172],"perception":[7],"message":[8,151],"periodicity":[9],"in":[10,54,85,124],"vehicular":[11],"networks":[12],"by":[13],"minimizing":[14],"a":[15,51,61,66,125,169],"weighted":[16],"sum":[17],"transmission":[19],"and":[20,29,121,153],"freshness":[21],"costs.":[22],"The":[23,74,127],"expressions":[24],"two":[27],"contributions":[28],"closed-form":[31],"solution":[32],"to":[33,59,163],"problem":[35],"are":[36],"obtained":[37],"for":[38],"Dynamic":[40],"Scheme":[41],"New":[44],"Radio":[45],"Vehicle-to-Everything":[46],"Side":[47],"Link":[48],"standard.":[49],"Moreover,":[50],"model":[52,75],"rooted":[53],"queueing":[55],"theory":[56],"is":[57,97,112,119,140],"proposed":[58],"describe":[60],"connected":[62,137],"automated":[63,138],"vehicle":[64,87,139],"as":[65],"source":[67],"messages":[69,111],"about":[70],"detected":[72],"objects.":[73],"provides":[76],"statistical":[78],"description":[79],"number":[82],"objects":[84],"viewing":[88],"horizon,":[89],"wherefrom":[90],"expression":[92],"its":[94],"autocorrelation":[95],"function":[96],"determined.":[98],"Through":[99],"latter,":[101],"degree":[103],"similarity":[105],"between":[106,157],"content":[108],"consecutive":[110,158],"understood.":[113],"Lastly,":[114],"an":[115],"illustrative":[116],"suburban":[117],"scenario":[118],"investigated":[120],"realistically":[122],"implemented":[123],"simulator.":[126],"results":[128],"show":[129],"that":[130],"increasing":[131],"detection":[133],"range":[134],"beneficial,":[141],"allowing":[142],"higher":[143,170],"values":[144],"optimal":[147],"update":[148],"periodicity,":[149],"larger":[150],"sizes,":[152],"lower":[154],"correlation":[155],"levels":[156],"messages.":[159],"choice":[161],"leads":[162],"best":[165],"communication":[166],"performance,":[167],"guaranteeing":[168],"probability":[171],"successful":[173],"packet":[174],"delivery.":[175]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-20T00:00:00"}