{"id":"https://openalex.org/W3196370210","doi":"https://doi.org/10.1109/icccn52240.2021.9522252","title":"Collaborative optimization of Edge-Cloud Computation Offloading in Internet of Vehicles","display_name":"Collaborative optimization of Edge-Cloud Computation Offloading in Internet of Vehicles","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3196370210","doi":"https://doi.org/10.1109/icccn52240.2021.9522252","mag":"3196370210"},"language":"en","primary_location":{"id":"doi:10.1109/icccn52240.2021.9522252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","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/A5033399419","display_name":"Yureng Li","orcid":"https://orcid.org/0000-0002-5517-5815"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yureng Li","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101953184","display_name":"Shouzhi Xu","orcid":"https://orcid.org/0000-0001-6090-152X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouzhi Xu","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033399419"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":0.9169,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76210344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10273","display_name":"IoT and Edge/Fog Computing","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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9790999889373779,"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":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.8875782489776611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8565443754196167},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8004579544067383},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.7286198735237122},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6257392168045044},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6086547374725342},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5642813444137573},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5539172291755676},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5403476357460022},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5400837659835815},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.495037704706192},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44384855031967163},{"id":"https://openalex.org/keywords/mobile-cloud-computing","display_name":"Mobile cloud computing","score":0.4227920472621918},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3634297847747803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15675580501556396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14411038160324097}],"concepts":[{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.8875782489776611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565443754196167},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8004579544067383},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.7286198735237122},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6257392168045044},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6086547374725342},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5642813444137573},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5539172291755676},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5403476357460022},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5400837659835815},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.495037704706192},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44384855031967163},{"id":"https://openalex.org/C2779191767","wikidata":"https://www.wikidata.org/wiki/Q6887075","display_name":"Mobile cloud computing","level":3,"score":0.4227920472621918},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3634297847747803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15675580501556396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14411038160324097},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn52240.2021.9522252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","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":17,"referenced_works":["https://openalex.org/W2586541704","https://openalex.org/W2742288482","https://openalex.org/W2747537200","https://openalex.org/W2786309777","https://openalex.org/W2886033427","https://openalex.org/W2906410941","https://openalex.org/W2916889275","https://openalex.org/W2963666973","https://openalex.org/W2963857659","https://openalex.org/W2964050982","https://openalex.org/W2966021969","https://openalex.org/W2967578255","https://openalex.org/W2980970610","https://openalex.org/W3004421451","https://openalex.org/W3013909815","https://openalex.org/W3091166409","https://openalex.org/W3117089396"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W4362496467","https://openalex.org/W2917844159","https://openalex.org/W2917127270","https://openalex.org/W2896883851","https://openalex.org/W3185499500","https://openalex.org/W3106445841"],"abstract_inverted_index":{"Recently,":[0],"as":[1,45],"the":[2,6,11,14,30,73,81,110],"traffic":[3],"flow":[4],"in":[5],"internet":[7],"of":[8,17,83,112],"vehicles":[9],"increases,":[10],"conflict":[12],"between":[13],"huge":[15],"number":[16],"computing":[18,57],"tasks":[19],"and":[20,37,86,104],"limited":[21],"computation":[22,84,102],"resources":[23],"needs":[24],"to":[25,71,100],"be":[26],"solved":[27],"urgently.":[28],"For":[29],"above":[31],"situation,":[32],"Mobile":[33,38],"Cloud":[34],"Computing":[35,40],"(MCC)":[36],"Edge":[39],"(MEC)":[41],"can":[42],"usually":[43],"serve":[44],"effective":[46],"solutions.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,65,94],"first":[52],"develop":[53,95],"a":[54,67,96],"hierarchical":[55],"edge":[56],"model":[58],"for":[59],"time-varying":[60],"mobile":[61],"IoV-edge-cloud":[62],"environment.":[63],"Then":[64],"formulate":[66],"collaborative":[68],"optimization":[69],"problem":[70],"minimize":[72],"system":[74],"cost":[75],"by":[76,116],"jointly":[77],"optimizing":[78],"offloading":[79,103],"decision,":[80],"allocation":[82],"resource":[85,105],"bandwidth.":[87],"Based":[88],"on":[89],"Reinforcement":[90],"Learning":[91],"(RL)":[92],"method,":[93],"Q-learning":[97],"based":[98],"algorithm":[99],"accomplish":[101],"allocation.":[106],"Numerical":[107],"simulations":[108],"verify":[109],"effectiveness":[111],"our":[113],"proposed":[114],"scheme":[115],"comparing":[117],"with":[118],"typical":[119],"algorithms.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-02-19T06:27:42.648592","created_date":"2025-10-10T00:00:00"}