{"id":"https://openalex.org/W4293093948","doi":"https://doi.org/10.1109/tsp55681.2022.9851276","title":"Integrating Artery and Simu5G: A Mobile Edge Computing use case for Collective Perception-based V2X safety applications","display_name":"Integrating Artery and Simu5G: A Mobile Edge Computing use case for Collective Perception-based V2X safety applications","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4293093948","doi":"https://doi.org/10.1109/tsp55681.2022.9851276"},"language":"en","primary_location":{"id":"doi:10.1109/tsp55681.2022.9851276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp55681.2022.9851276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 45th International Conference on Telecommunications and Signal Processing (TSP)","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/A5103075518","display_name":"Gergely Kov\u00e1cs","orcid":"https://orcid.org/0009-0003-7952-3145"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Gergely Attila Kovacs","raw_affiliation_strings":["Budapest University of Technology and Economics,Faculty of Electrical Engineering and Informatics,Department of Networked Systems and Services,Budapest,Hungary,H-1111","ELKH-BME Cloud Applications Research Group, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics,Faculty of Electrical Engineering and Informatics,Department of Networked Systems and Services,Budapest,Hungary,H-1111","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"ELKH-BME Cloud Applications Research Group, Budapest, Hungary","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087619108","display_name":"L\u00e1szl\u00f3 Bokor","orcid":"https://orcid.org/0000-0003-1870-8544"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Laszlo Bokor","raw_affiliation_strings":["Budapest University of Technology and Economics,Faculty of Electrical Engineering and Informatics,Department of Networked Systems and Services,Budapest,Hungary,H-1111","ELKH-BME Cloud Applications Research Group, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics,Faculty of Electrical Engineering and Informatics,Department of Networked Systems and Services,Budapest,Hungary,H-1111","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"ELKH-BME Cloud Applications Research Group, Budapest, Hungary","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103075518"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":1.2432,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80380396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9991999864578247,"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/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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9980000257492065,"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":0.7843829393386841},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6621755361557007},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6074341535568237},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5654168128967285},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5412686467170715},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5364497303962708},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5165492296218872},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4896445870399475},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4712030589580536},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3899872899055481},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35168367624282837},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2980197072029114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19554561376571655},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11200457811355591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7843829393386841},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6621755361557007},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6074341535568237},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5654168128967285},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5412686467170715},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5364497303962708},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5165492296218872},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4896445870399475},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4712030589580536},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3899872899055481},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35168367624282837},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2980197072029114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19554561376571655},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11200457811355591},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp55681.2022.9851276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp55681.2022.9851276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 45th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1600401091","https://openalex.org/W1945491554","https://openalex.org/W2021275721","https://openalex.org/W2260112885","https://openalex.org/W2593354195","https://openalex.org/W2624989916","https://openalex.org/W2754025451","https://openalex.org/W2772664513","https://openalex.org/W2784111185","https://openalex.org/W2789893592","https://openalex.org/W2918819051","https://openalex.org/W2962955129","https://openalex.org/W2963775970","https://openalex.org/W3001774639","https://openalex.org/W3003986857","https://openalex.org/W3011815019","https://openalex.org/W3115615603","https://openalex.org/W3186285124","https://openalex.org/W3211003315","https://openalex.org/W6784712386"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W2968424451","https://openalex.org/W4221092438","https://openalex.org/W4385335479","https://openalex.org/W2905685817","https://openalex.org/W2730940305","https://openalex.org/W4207020266"],"abstract_inverted_index":{"As":[0],"vehicular":[1],"communications":[2],"(V2X)":[3],"become":[4],"increasingly":[5],"widespread,":[6],"the":[7,61,73,87,94],"study":[8,62],"of":[9,12,30,63,82],"technologies":[10],"capable":[11],"supporting":[13],"advanced":[14],"applications,":[15],"like":[16],"Collective":[17],"Perception":[18],"(CP),":[19],"gains":[20],"more":[21,23],"and":[22,27],"significance.":[24],"Architectural":[25],"improvements":[26],"new":[28],"features":[29],"5G":[31,83],"cellular":[32],"networks,":[33],"including":[34],"Mobile":[35],"Edge":[36],"Computing":[37],"(MEC),":[38],"seem":[39],"to":[40,43,60,67,72],"be":[41,91],"viable":[42],"build":[44],"upon,":[45],"so":[46],"much":[47],"in":[48,53,93],"general":[49],"V2X":[50,75],"use-cases":[51],"as":[52],"ones":[54],"based":[55],"on":[56],"CP.":[57],"Our":[58],"contribution":[59],"this":[64],"field":[65],"is":[66],"provide":[68],"an":[69],"operable":[70],"extension":[71],"well-known":[74],"simulation":[76],"framework":[77],"called":[78],"Artery,":[79],"where":[80],"implementations":[81],"elements":[84],"provided":[85],"by":[86],"Simu5G":[88],"library":[89],"can":[90],"utilized":[92],"simulations.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
