{"id":"https://openalex.org/W4392910402","doi":"https://doi.org/10.1109/ccnc51664.2024.10454753","title":"Decentralized Cluster Head Selection in IoV using Federated Deep Reinforcement Learning","display_name":"Decentralized Cluster Head Selection in IoV using Federated Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392910402","doi":"https://doi.org/10.1109/ccnc51664.2024.10454753"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51664.2024.10454753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","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/A5111637520","display_name":"C. Scott","orcid":null},"institutions":[{"id":"https://openalex.org/I119443389","display_name":"East Tennessee State University","ror":"https://ror.org/05rfqv493","country_code":"US","type":"education","lineage":["https://openalex.org/I119443389"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chandler Scott","raw_affiliation_strings":["East Tennessee State University,Dept of Computing,Johnson City,TN,37604"],"affiliations":[{"raw_affiliation_string":"East Tennessee State University,Dept of Computing,Johnson City,TN,37604","institution_ids":["https://openalex.org/I119443389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014109840","display_name":"Mohammad S. Khan","orcid":"https://orcid.org/0000-0002-2224-3826"},"institutions":[{"id":"https://openalex.org/I119443389","display_name":"East Tennessee State University","ror":"https://ror.org/05rfqv493","country_code":"US","type":"education","lineage":["https://openalex.org/I119443389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad S. Khan","raw_affiliation_strings":["East Tennessee State University,Dept of Computing,Johnson City,TN,37604"],"affiliations":[{"raw_affiliation_string":"East Tennessee State University,Dept of Computing,Johnson City,TN,37604","institution_ids":["https://openalex.org/I119443389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049628784","display_name":"Anirudh Paranjothi","orcid":"https://orcid.org/0000-0003-4222-7273"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirudh Paranjothi","raw_affiliation_strings":["Oklahoma State University,Dept of Computer Science,Stillwater,OK,74078"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,Dept of Computer Science,Stillwater,OK,74078","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025095771","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-2632-7808"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Qiang Li","raw_affiliation_strings":["Oklahoma State University,Dept of Civil & Environmental Engineering,Stillwater,OK,74078"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,Dept of Civil & Environmental Engineering,Stillwater,OK,74078","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111637520"],"corresponding_institution_ids":["https://openalex.org/I119443389"],"apc_list":null,"apc_paid":null,"fwci":0.8768,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72137944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9958999752998352,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.995199978351593,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8865376710891724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8086267113685608},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7123916149139404},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5919706225395203},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5433060526847839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48294705152511597},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.46290409564971924},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35665059089660645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3218541145324707},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2787207067012787},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10954040288925171}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8865376710891724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086267113685608},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7123916149139404},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5919706225395203},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5433060526847839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48294705152511597},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.46290409564971924},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35665059089660645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3218541145324707},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2787207067012787},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10954040288925171},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51664.2024.10454753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1540654464","https://openalex.org/W2345600446","https://openalex.org/W2579603034","https://openalex.org/W2736601468","https://openalex.org/W2792149140","https://openalex.org/W2996037775","https://openalex.org/W3001523552","https://openalex.org/W3123674380","https://openalex.org/W3128173440","https://openalex.org/W3134989974","https://openalex.org/W3153308896","https://openalex.org/W3181874253","https://openalex.org/W3211089035","https://openalex.org/W4309922684","https://openalex.org/W4318619660","https://openalex.org/W4382867407","https://openalex.org/W4387521020","https://openalex.org/W6728757088","https://openalex.org/W6772005887"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"The":[0,193],"Internet":[1],"of":[2,8,69,94,107,152,190,195],"Vehicles":[3],"(IoV)":[4],"is":[5,49,145,198,205],"a":[6,50,63,82,86,105,161,179],"subset":[7],"cyber-physical":[9],"systems":[10],"(CPS)":[11],"that":[12,185,204],"interconnects":[13],"vehicles":[14],"and":[15,23,37,58,78,122,137,156,212,226],"infrastructure":[16,121],"through":[17],"networking":[18],"to":[19,29,46,53,124],"provide":[20],"safety,":[21],"convenience,":[22],"improved":[24],"traffic":[25],"management.":[26],"IoV":[27],"promises":[28],"mitigate":[30],"congestion,":[31],"lower":[32],"fuel":[33],"consumption,":[34],"reduce":[35],"pollution,":[36],"enhance":[38],"travel":[39],"efficiency,":[40],"all":[41],"while":[42],"extending":[43],"internet":[44],"access":[45],"vehicles.":[47],"Clustering":[48],"technique":[51],"shown":[52],"address":[54],"challenges":[55],"in":[56,66,113,141],"IoV,":[57,114],"cluster":[59,74,83,110,128,166,227],"head":[60,75,84,111,167],"selection":[61,112,168],"plays":[62],"significant":[64],"role":[65],"the":[67,70,73,92,126,150,187,201,208],"stability":[68],"network":[71],"as":[72],"orchestrates":[76],"intra":[77],"inter-cluster":[79],"communication.":[80],"When":[81],"possesses":[85],"weak":[87],"link":[88,95],"among":[89],"its":[90],"members,":[91],"risk":[93],"breakage":[96],"rises,":[97],"diminishing":[98],"information":[99],"sharing.":[100],"Previous":[101],"research":[102],"has":[103],"offered":[104],"number":[106],"solutions":[108,117,133],"for":[109,165],"but":[115],"current":[116],"rely":[118],"on":[119,207],"centralized":[120],"data":[123,153,189],"determine":[125],"optimal":[127],"head.":[129],"As":[130],"such,":[131],"these":[132],"suffer":[134],"from":[135],"latency":[136,218],"are":[138],"not":[139],"applicable":[140],"regions":[142],"where":[143],"there":[144],"limited":[146],"infrastructure.":[147],"In":[148],"addition,":[149],"centralization":[151],"raises":[154],"privacy":[155],"security":[157],"concerns.":[158],"We":[159],"propose":[160],"novel":[162],"decentralized":[163],"approach":[164,184],"enabled":[169],"by":[170],"Federated":[171],"Deep":[172],"Reinforcement":[173],"Learning":[174],"(FDRL).":[175],"Our":[176,214],"solution":[177],"offers":[178],"low":[180,217],"latency,":[181],"distributed":[182],"learning":[183],"preserves":[186],"private":[188],"each":[191],"vehicle.":[192],"performance":[194],"our":[196],"proposal":[197],"examined":[199],"using":[200],"Veins":[202],"framework":[203],"based":[206],"two":[209],"simulators":[210],"OMNET++":[211],"SUMO.":[213],"results":[215],"achieved":[216],"communication":[219],"with":[220],"high":[221],"neighbor":[222],"connectivity,":[223],"packet":[224],"delivery,":[225],"stability.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}