{"id":"https://openalex.org/W4312311745","doi":"https://doi.org/10.1109/jiot.2022.3221966","title":"Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing","display_name":"Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing","publication_year":2022,"publication_date":"2022-11-15","ids":{"openalex":"https://openalex.org/W4312311745","doi":"https://doi.org/10.1109/jiot.2022.3221966"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3221966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3221966","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5008496827","display_name":"Wenkai Lv","orcid":"https://orcid.org/0000-0003-2276-053X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenkai Lv","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-2276-053X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664267","display_name":"Pengfei Yang","orcid":"https://orcid.org/0000-0003-4065-4052"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Yang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4065-4052","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054772201","display_name":"Tianyang Zheng","orcid":"https://orcid.org/0000-0003-2733-5479"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076696814","display_name":"Bijie Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bijie Yi","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069264089","display_name":"Yunqing Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqing Ding","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418247","display_name":"Quan Wang","orcid":"https://orcid.org/0000-0001-6913-8604"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-6913-8604","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083508620","display_name":"Minwen Deng","orcid":"https://orcid.org/0009-0005-8122-3023"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minwen Deng","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.278,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94524923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":"6","first_page":"5214","last_page":"5225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9990000128746033,"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":0.9990000128746033,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9958000183105469,"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":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.8823868036270142},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.8620119690895081},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7788451910018921},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.7444120049476624},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6227304935455322},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6039135456085205},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5848144888877869},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.44924870133399963},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.44838571548461914},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4453672170639038},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44523483514785767},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42797422409057617},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4195757210254669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13116082549095154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11490213871002197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8823868036270142},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.8620119690895081},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7788451910018921},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.7444120049476624},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6227304935455322},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6039135456085205},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5848144888877869},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.44924870133399963},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.44838571548461914},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4453672170639038},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44523483514785767},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42797422409057617},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4195757210254669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13116082549095154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11490213871002197},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3221966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3221966","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1166193582","display_name":"\u5d4c\u5165\u5f0f\u5f02\u6784\u8ba1\u7b97\u96c6\u7fa4\u9ad8\u53ef\u9760\u9ad8\u6027\u80fd\u7ba1\u7406\u8c03\u5ea6\u7814\u7a76","funder_award_id":"61972302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8933712820","display_name":"\u57fa\u4e8eRGB-D\u6570\u636e\u7684\u673a\u5668\u4eba\u590d\u6742\u884c\u4e3a\u667a\u80fd\u534f\u540c\u63a7\u5236\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61962019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2080017588","https://openalex.org/W2096636084","https://openalex.org/W2099201756","https://openalex.org/W2893099989","https://openalex.org/W2894383926","https://openalex.org/W2917748490","https://openalex.org/W2926143647","https://openalex.org/W2962824535","https://openalex.org/W2963070605","https://openalex.org/W2963644017","https://openalex.org/W2964052915","https://openalex.org/W2964221923","https://openalex.org/W2987729805","https://openalex.org/W3004417498","https://openalex.org/W3004718830","https://openalex.org/W3010178570","https://openalex.org/W3017091196","https://openalex.org/W3035007032","https://openalex.org/W3038782910","https://openalex.org/W3045049179","https://openalex.org/W3081088023","https://openalex.org/W3082598040","https://openalex.org/W3088802706","https://openalex.org/W3100903263","https://openalex.org/W3101903411","https://openalex.org/W3107242135","https://openalex.org/W3113028469","https://openalex.org/W3130425349","https://openalex.org/W3134357852","https://openalex.org/W3177394154","https://openalex.org/W3191972690","https://openalex.org/W3196359308","https://openalex.org/W3211199052","https://openalex.org/W3217539601","https://openalex.org/W4206176461","https://openalex.org/W4214816089","https://openalex.org/W4285170504","https://openalex.org/W4287555972","https://openalex.org/W4289824812","https://openalex.org/W6639099100","https://openalex.org/W6674642613","https://openalex.org/W6675200109","https://openalex.org/W6732081638","https://openalex.org/W6774339418","https://openalex.org/W6780116775","https://openalex.org/W6786190416","https://openalex.org/W6840814352"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W4378977105","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W2917127270","https://openalex.org/W2902693277"],"abstract_inverted_index":{"By":[0],"deploying":[1],"computing,":[2],"storage,":[3],"and":[4,41,66,96,156,166],"bandwidth":[5],"resources":[6,26,95],"at":[7],"the":[8,24,34,43,79,85,92,102,110,125,130,138,164,169],"user":[9],"side,":[10],"vehicular":[11],"edge":[12,28],"computing":[13],"(VEC)":[14],"provides":[15],"low-delay":[16],"services":[17],"for":[18,112],"vehicle":[19],"users.":[20],"However,":[21],"due":[22],"to":[23,31,77,123,140,144,162],"limited":[25],"of":[27,38,88,94,105,132,154,168],"servers,":[29],"how":[30],"efficiently":[32],"meet":[33],"Quality-of-Service":[35],"(QoS)":[36],"requirements":[37,111],"multiple":[39],"tasks":[40],"save":[42],"total":[44,80],"energy":[45,64,81,98],"consumption":[46,65,82,99],"in":[47,55,147],"a":[48,152],"dynamic":[49],"environment":[50],"is":[51,76,137],"an":[52,63],"important":[53],"issue":[54],"VEC.":[56,148],"In":[57],"this":[58,135],"article,":[59],"we":[60,115,150],"first":[61,139],"propose":[62,116],"QoS-aware":[67],"co-offloading":[68],"model.":[69],"Unlike":[70],"most":[71],"previous":[72],"studies,":[73],"our":[74,133,176],"goal":[75],"minimize":[78],"while":[83],"guaranteeing":[84],"QoS":[86],"constraints":[87],"tasks,":[89],"thus":[90],"avoiding":[91],"overallocation":[93],"high":[97],"caused":[100],"by":[101],"one-sided":[103],"pursuit":[104],"delay":[106],"minimization.":[107],"Then,":[108],"without":[109],"domain":[113],"experts,":[114],"Bayesian":[117,142],"optimization-based":[118],"computation":[119,145],"offloading":[120,127,146,160],"(BOCO)":[121],"method":[122],"find":[124],"optimal":[126],"decision.":[128],"To":[129],"best":[131],"knowledge,":[134],"work":[136],"apply":[141],"optimization":[143],"Furthermore,":[149],"conduct":[151],"series":[153],"experiments":[155],"comparisons":[157],"with":[158],"other":[159],"methods":[161],"analyze":[163],"effectiveness":[165],"performance":[167],"proposed":[170,177],"algorithm.":[171],"Experimental":[172],"results":[173],"verify":[174],"that":[175],"BOCO":[178],"outperforms":[179],"counterparts.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}