{"id":"https://openalex.org/W7130507727","doi":"https://doi.org/10.1007/s12083-026-02200-2","title":"A secure and scalable traffic management framework using hybrid DNN-CNN and geographic routing in V2X networks","display_name":"A secure and scalable traffic management framework using hybrid DNN-CNN and geographic routing in V2X networks","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130507727","doi":"https://doi.org/10.1007/s12083-026-02200-2"},"language":"en","primary_location":{"id":"doi:10.1007/s12083-026-02200-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12083-026-02200-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02200-2.pdf","source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02200-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123748793","display_name":"Sonika Bhardwaj","orcid":null},"institutions":[{"id":"https://openalex.org/I55546527","display_name":"Indian Institute of Public Administration","ror":"https://ror.org/040fbda06","country_code":"IN","type":"education","lineage":["https://openalex.org/I55546527"]},{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonika Bhardwaj","raw_affiliation_strings":["Department of Computer Engineering and Application, GLA University, Mathura, U.P, India","Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Sonepat, Sonepat, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Application, GLA University, Mathura, U.P, India","institution_ids":["https://openalex.org/I82571370"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Sonepat, Sonepat, Haryana, India","institution_ids":["https://openalex.org/I55546527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073451612","display_name":"Ramesh Saha","orcid":"https://orcid.org/0000-0003-0003-9450"},"institutions":[{"id":"https://openalex.org/I55546527","display_name":"Indian Institute of Public Administration","ror":"https://ror.org/040fbda06","country_code":"IN","type":"education","lineage":["https://openalex.org/I55546527"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramesh Saha","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Sonepat, Sonepat, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT), Sonepat, Sonepat, Haryana, India","institution_ids":["https://openalex.org/I55546527"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073451612"],"corresponding_institution_ids":["https://openalex.org/I55546527"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":{"value":2790,"currency":"EUR","value_usd":3590},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61139287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.699400007724762,"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":0.699400007724762,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.1784999966621399,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.022700000554323196,"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/scalability","display_name":"Scalability","score":0.7128999829292297},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5508000254631042},{"id":"https://openalex.org/keywords/geographic-routing","display_name":"Geographic routing","score":0.5041999816894531},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5011000037193298},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4699999988079071},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4440999925136566},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.414000004529953},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39890000224113464},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.3569999933242798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685999870300293},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7128999829292297},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5508000254631042},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5184000134468079},{"id":"https://openalex.org/C50558702","wikidata":"https://www.wikidata.org/wiki/Q5535067","display_name":"Geographic routing","level":5,"score":0.5041999816894531},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4657999873161316},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4440999925136566},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.414000004529953},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39890000224113464},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C89305328","wikidata":"https://www.wikidata.org/wiki/Q1755411","display_name":"Link-state routing protocol","level":4,"score":0.33640000224113464},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.32600000500679016},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C2776955676","wikidata":"https://www.wikidata.org/wiki/Q7371623","display_name":"Hybrid routing","level":5,"score":0.30869999527931213},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C2779990667","wikidata":"https://www.wikidata.org/wiki/Q5953266","display_name":"Hybrid neural network","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.29679998755455017},{"id":"https://openalex.org/C24856439","wikidata":"https://www.wikidata.org/wiki/Q352483","display_name":"Adaptive routing","level":5,"score":0.29330000281333923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27390000224113464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.2563999891281128},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12083-026-02200-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12083-026-02200-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02200-2.pdf","source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s12083-026-02200-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12083-026-02200-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02200-2.pdf","source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7888543009757996}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130507727.pdf","grobid_xml":"https://content.openalex.org/works/W7130507727.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W2900496656","https://openalex.org/W2955056506","https://openalex.org/W3038326580","https://openalex.org/W3118908783","https://openalex.org/W3134672891","https://openalex.org/W3171884590","https://openalex.org/W3196018330","https://openalex.org/W3200695110","https://openalex.org/W3203463588","https://openalex.org/W3217120025","https://openalex.org/W4210294932","https://openalex.org/W4283080009","https://openalex.org/W4306776210","https://openalex.org/W4309080560","https://openalex.org/W4313569213","https://openalex.org/W4322502842","https://openalex.org/W4379933076","https://openalex.org/W4386517484","https://openalex.org/W4388666567","https://openalex.org/W4391216138","https://openalex.org/W4392208039","https://openalex.org/W4392404412","https://openalex.org/W4394786078","https://openalex.org/W4395466710","https://openalex.org/W4400579058","https://openalex.org/W4401413532","https://openalex.org/W4402520277","https://openalex.org/W4402641945","https://openalex.org/W4403759146","https://openalex.org/W4404788121","https://openalex.org/W4405489031","https://openalex.org/W4405616836","https://openalex.org/W4405907950","https://openalex.org/W4406171718","https://openalex.org/W4407226246","https://openalex.org/W4407391761","https://openalex.org/W4407594915","https://openalex.org/W4407633052","https://openalex.org/W4407690683","https://openalex.org/W4408443756","https://openalex.org/W4408859243","https://openalex.org/W4409060070","https://openalex.org/W4409249093","https://openalex.org/W4410295724","https://openalex.org/W4411849220","https://openalex.org/W4413114235","https://openalex.org/W4413472388","https://openalex.org/W4413950495","https://openalex.org/W4414647825","https://openalex.org/W6963208457","https://openalex.org/W7092053476"],"related_works":[],"abstract_inverted_index":{"The":[0,26,53,102,117,141],"increasing":[1],"complexity":[2],"of":[3,61,68,86,90,96,129],"traffic":[4,17,47,126,156],"patterns":[5],"in":[6,49,158],"modern":[7],"urban":[8],"environments":[9],"necessitates":[10],"intelligent":[11,155],"and":[12,92,115,135,153],"scalable":[13,121],"solutions":[14],"for":[15,109,124,132],"real-time":[16],"forecasting":[18],"within":[19],"the":[20,56,64,72,78,81,145],"Vehicular":[21],"Ad":[22],"Hoc":[23],"Networks":[24],"(VANETs).":[25],"proposed":[27,146],"hybrid":[28,122],"lightweight":[29,103],"Deep":[30],"Neural":[31,34],"Network":[32,35],"(DNN)\u2013Convolutional":[33],"(CNN)":[36],"framework":[37,147],"integrates":[38],"with":[39,63],"Geographic":[40],"Routing":[41],"Protocols":[42],"(GRP)":[43],"to":[44,70],"enable":[45],"efficient":[46],"prediction":[48],"resource-constrained":[50],"V2X":[51,139],"environments.":[52],"model":[54,82],"combines":[55],"spatial":[57],"feature":[58],"extraction":[59],"ability":[60],"CNNs":[62],"temporal":[65],"learning":[66],"strength":[67],"DNNs":[69],"capture":[71],"dynamic":[73],"vehicular":[74,160],"patterns.":[75],"Evaluated":[76],"using":[77,137],"TiHAN-V2X":[79],"dataset,":[80],"achieves":[83],"an":[84,88,93],"MSE":[85],"0.0141,":[87],"MAE":[89],"0.0951,":[91],"R":[94],"$$^{2}$$":[95],"0.9680":[97],"that":[98,144],"surpassing":[99],"state-of-the-art":[100],"baselines.":[101],"design":[104],"ensures":[105],"low-latency":[106],"inference":[107],"suitable":[108],"edge":[110],"devices":[111],"such":[112],"as":[113],"RSUs":[114],"OBUs.":[116],"contributions":[118],"include":[119],"a":[120],"architecture":[123],"spatio-temporal":[125],"learning,":[127],"integration":[128],"geographic":[130],"routing":[131],"congestion-aware":[133],"communication,":[134],"validation":[136],"real-world":[138],"data.":[140],"results":[142],"demonstrate":[143],"enhances":[148],"predictive":[149],"accuracy,":[150],"reduces":[151],"latency,":[152],"supports":[154],"management":[157],"next-generation":[159],"networks.":[161]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2026-02-19T00:00:00"}
