{"id":"https://openalex.org/W2987002400","doi":"https://doi.org/10.23919/apnoms.2019.8893099","title":"Artificial Intelligence based Edge Caching in Vehicular Mobile Networks: Architecture, Opportunities, and Research Issues","display_name":"Artificial Intelligence based Edge Caching in Vehicular Mobile Networks: Architecture, Opportunities, and Research Issues","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2987002400","doi":"https://doi.org/10.23919/apnoms.2019.8893099","mag":"2987002400"},"language":"en","primary_location":{"id":"doi:10.23919/apnoms.2019.8893099","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms.2019.8893099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)","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/A5016388634","display_name":"Kai-Min Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kai-Min Liao","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113860172","display_name":"Guanyi Chen","orcid":"https://orcid.org/0000-0001-6850-4385"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guan-Yi Chen","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079096928","display_name":"Yu\u2010Jia Chen","orcid":"https://orcid.org/0000-0001-7563-4073"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Jia Chen","raw_affiliation_strings":["National Central University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016388634"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.3577,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61904824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9991999864578247,"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":0.9991999864578247,"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/T11478","display_name":"Caching and Content Delivery","score":0.9986000061035156,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8003672361373901},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6671447157859802},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6458518505096436},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.6052388548851013},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5861180424690247},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5447777509689331},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5407088398933411},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.5224170684814453},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47831204533576965},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45014503598213196},{"id":"https://openalex.org/keywords/c-ran","display_name":"C-RAN","score":0.4495044946670532},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.44236430525779724},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.43961814045906067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36712515354156494},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.2728651762008667},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.26936766505241394},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.25048285722732544},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1858752965927124},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.17445752024650574},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.15201157331466675},{"id":"https://openalex.org/keywords/mobile-station","display_name":"Mobile station","score":0.10137224197387695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003672361373901},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6671447157859802},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6458518505096436},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.6052388548851013},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5861180424690247},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5447777509689331},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5407088398933411},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.5224170684814453},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47831204533576965},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45014503598213196},{"id":"https://openalex.org/C2779765720","wikidata":"https://www.wikidata.org/wiki/Q5005908","display_name":"C-RAN","level":5,"score":0.4495044946670532},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.44236430525779724},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.43961814045906067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36712515354156494},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.2728651762008667},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.26936766505241394},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.25048285722732544},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1858752965927124},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.17445752024650574},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.15201157331466675},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.10137224197387695},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apnoms.2019.8893099","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms.2019.8893099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2029091717","https://openalex.org/W2364089413","https://openalex.org/W2415391790","https://openalex.org/W2566869048","https://openalex.org/W2761862361","https://openalex.org/W2772985092","https://openalex.org/W2793042099","https://openalex.org/W2796072484","https://openalex.org/W2895410236","https://openalex.org/W2898035736","https://openalex.org/W2904947504","https://openalex.org/W2930417085","https://openalex.org/W2963401662","https://openalex.org/W2963692980","https://openalex.org/W2963805280","https://openalex.org/W2964048168","https://openalex.org/W3102859365","https://openalex.org/W3144149715","https://openalex.org/W4229507690","https://openalex.org/W6761295571"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W3214037210"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,14,33,38,41,78,83,88,115,139,142,148],"potentials":[4],"of":[5,17,35,82,90,118,141],"utilizing":[6],"artificial":[7],"intelligence":[8],"(AI)":[9],"based":[10],"edge":[11,62,120],"caching":[12,63,121],"in":[13,56,102,122],"next":[15],"generation":[16],"vehicular":[18,46,108,123],"mobile":[19,61],"networks.":[20],"In":[21,110],"recent":[22],"years,":[23],"vehicle-to-everything":[24],"(V2X)":[25],"has":[26,98],"been":[27,99],"a":[28],"research":[29,150],"focus,":[30],"which":[31,75],"enables":[32],"exchange":[34],"information":[36],"between":[37],"vehicles":[39],"and":[40,48,104],"outside":[42],"world.":[43],"To":[44],"integrate":[45],"networks":[47,124],"cellular":[49],"radio":[50],"technology,":[51],"cellular-V2X":[52],"(C-V2X)":[53],"was":[54],"proposed":[55,143],"3GPP":[57],"release":[58],"14.":[59],"Further,":[60],"is":[64],"regarded":[65],"as":[66,94,129],"an":[67,130],"effective":[68],"technique":[69],"to":[70,137],"allow":[71],"local":[72],"data":[73],"access,":[74],"can":[76],"support":[77],"low":[79],"latency":[80],"requirement":[81],"V2X":[84],"use":[85],"cases.":[86],"With":[87],"advance":[89],"AI":[91],"technologies":[92],"such":[93],"deep":[95],"learning,":[96],"there":[97],"increasing":[100],"demand":[101],"inference":[103],"learning":[105],"from":[106],"big":[107],"data.":[109],"this":[111],"paper,":[112],"we":[113,146],"present":[114],"detailed":[116],"architecture":[117],"AI-based":[119],"with":[125],"misbehaving":[126],"vehicle":[127],"detection":[128],"illustrative":[131],"case.":[132],"Performance":[133],"results":[134],"are":[135],"provided":[136],"investigate":[138],"benefit":[140],"architecture.":[144],"Finally,":[145],"highlight":[147],"potential":[149],"directions.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
