{"id":"https://openalex.org/W4296558628","doi":"https://doi.org/10.1109/tits.2022.3198806","title":"Pre-Predictive Congestion-Based Data Allocation for Sixth Generation Cooperative Intelligent Transportation Systems","display_name":"Pre-Predictive Congestion-Based Data Allocation for Sixth Generation Cooperative Intelligent Transportation Systems","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4296558628","doi":"https://doi.org/10.1109/tits.2022.3198806"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3198806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3198806","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5109650687","display_name":"Gunasekaran Manogaran","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gunasekaran Manogaran","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020599749","display_name":"Ibrahim Alrayes","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ibrahim Alrayes","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064835197","display_name":"Amani Alshaikhi","orcid":null},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amani Alshaikhi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046343080","display_name":"Danda B. Rawat","orcid":"https://orcid.org/0000-0003-3638-3464"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danda B. Rawat","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, College of Engineering and Architecture (CEA), Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109650687"],"corresponding_institution_ids":["https://openalex.org/I137853757"],"apc_list":null,"apc_paid":null,"fwci":0.6403,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66479892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"23","issue":"10","first_page":"18655","last_page":"18667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9988999962806702,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9988999962806702,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.7588014602661133},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6903271079063416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543388366699219},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6039007902145386},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.46183252334594727},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45712512731552124},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.452719509601593},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.44091472029685974},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43455854058265686},{"id":"https://openalex.org/keywords/advanced-traffic-management-system","display_name":"Advanced Traffic Management System","score":0.4166763424873352},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36571502685546875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2824723422527313},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.25067949295043945},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.08787915110588074}],"concepts":[{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.7588014602661133},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6903271079063416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543388366699219},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6039007902145386},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.46183252334594727},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45712512731552124},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.452719509601593},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.44091472029685974},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43455854058265686},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.4166763424873352},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36571502685546875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2824723422527313},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.25067949295043945},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.08787915110588074},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3198806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3198806","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G1025405421","display_name":null,"funder_award_id":"2036359","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8421032499","display_name":null,"funder_award_id":"1828811","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2499723252","https://openalex.org/W2790873171","https://openalex.org/W2795276038","https://openalex.org/W2901067280","https://openalex.org/W2903433690","https://openalex.org/W2903701782","https://openalex.org/W2904906565","https://openalex.org/W2911894629","https://openalex.org/W2924972509","https://openalex.org/W2927216462","https://openalex.org/W2930612077","https://openalex.org/W2940128511","https://openalex.org/W2946902902","https://openalex.org/W2969270822","https://openalex.org/W2969750894","https://openalex.org/W2988299123","https://openalex.org/W2993809815","https://openalex.org/W2996504861","https://openalex.org/W3011779473","https://openalex.org/W3013518474","https://openalex.org/W3037450713","https://openalex.org/W3039735062","https://openalex.org/W3041497362","https://openalex.org/W3042900318","https://openalex.org/W3046813827","https://openalex.org/W3083228182","https://openalex.org/W3091369929","https://openalex.org/W3094709389","https://openalex.org/W3097674738","https://openalex.org/W3100491179","https://openalex.org/W3112586242","https://openalex.org/W3117379804","https://openalex.org/W3118968349","https://openalex.org/W3135109547","https://openalex.org/W3186745756","https://openalex.org/W6761209035"],"related_works":["https://openalex.org/W3158831960","https://openalex.org/W2521728836","https://openalex.org/W2972088616","https://openalex.org/W3094593199","https://openalex.org/W2008793610","https://openalex.org/W4390341805","https://openalex.org/W2973192971","https://openalex.org/W4360619413","https://openalex.org/W3069032","https://openalex.org/W2044422050"],"abstract_inverted_index":{"Cooperative":[0],"intelligent":[1,8,88],"and":[2,11,17,25,33,47,51,86,113,193],"autonomous":[3],"transportation":[4],"systems":[5],"rely":[6],"on":[7],"sensing,":[9],"computing,":[10],"actuating":[12],"technologies":[13],"for":[14,31,56,68,111,135,148,160],"unmanned":[15],"freight":[16],"public":[18],"movements.":[19],"The":[20,99,144],"information":[21,58,85,194],"gained":[22],"from":[23],"neighbors":[24],"communication":[26,46],"infrastructures":[27],"provides":[28],"efficient":[29],"actuation":[30],"safe":[32],"sustained":[34],"transportation.":[35,89],"This":[36,73,90],"article":[37],"resolves":[38],"traffic":[39,84,100],"data":[40,106,152],"management":[41],"congestion":[42,62,103,185],"using":[43],"sixth-generation":[44],"(6G)":[45],"computing":[48],"techniques.":[49],"Terahertz":[50],"machine-type":[52],"communications":[53],"are":[54,109,123,137,164,199],"exploited":[55],"swift":[57],"exchange,":[59],"bypassing":[60],"the":[61,80,105,120,126,132,142,155,180],"effects.":[63],"Congestion":[64],"occurs":[65],"when":[66],"demand":[67],"road":[69],"space":[70],"exceeds":[71],"supply.":[72],"proposal":[74],"incorporates":[75],"prediction-based":[76],"learning":[77],"to":[78,166,175],"compute":[79],"feasibility":[81],"of":[82,158,178,183,187,191,197],"handling":[83],"cooperative":[87],"model":[91],"is":[92,146],"named":[93],"Congestion-aware":[94],"Pre-predictive":[95],"Data":[96],"Allocation":[97],"(CPPDA).":[98],"flows":[101],"causing":[102],"in":[104],"exchange":[107],"process":[108],"predicted":[110],"re-allocation":[112],"independent":[114],"channel":[115],"utilization.":[116],"In":[117,173],"this":[118],"learning,":[119],"pre-predicted":[121],"instances":[122],"updated":[124],"with":[125,139],"actual":[127],"identified":[128,138],"utilization-to-congestion":[129],"rate.":[130],"Therefore,":[131],"congestion-causing":[133],"channels":[134,159],"sensing":[136],"ease,":[140],"reducing":[141],"outage.":[143],"outage":[145,177],"examined":[147],"a":[149,167,202],"basic":[150],"inter-vehicle":[151],"link.":[153],"Through":[154],"optimal":[156],"allocation":[157],"actuation,":[161],"cloud-aided":[162],"resources":[163],"utilized":[165],"maximum":[168],"level,":[169],"leveraging":[170],"infrastructure":[171],"support.":[172],"addition":[174],"an":[176],"10.83%,":[179],"response":[181],"time":[182],"14.75%,":[184],"factor":[186],"8.2%,":[188],"computational":[189],"overhead":[190],"6.4%,":[192],"gain":[195],"factors":[196],"6.86%":[198],"analyzed":[200],"through":[201],"comparative":[203],"study.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
