{"id":"https://openalex.org/W2997234356","doi":"https://doi.org/10.1145/3372025","title":"Computation Offloading with Multiple Agents in Edge-Computing\u2013Supported IoT","display_name":"Computation Offloading with Multiple Agents in Edge-Computing\u2013Supported IoT","publication_year":2019,"publication_date":"2019-12-19","ids":{"openalex":"https://openalex.org/W2997234356","doi":"https://doi.org/10.1145/3372025","mag":"2997234356"},"language":"en","primary_location":{"id":"doi:10.1145/3372025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372025","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.00463","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053962492","display_name":"Shihao Shen","orcid":"https://orcid.org/0000-0003-1012-1028"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihao Shen","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046729396","display_name":"Yiwen Han","orcid":"https://orcid.org/0000-0001-6124-4701"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Han","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363470","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0002-7223-1030"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100617593","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0003-4851-6113"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0478,"has_fulltext":true,"cited_by_count":88,"citation_normalized_percentile":{"value":0.97914824,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991999864578247,"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/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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8917162418365479},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.7125682234764099},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.7120376825332642},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6354369521141052},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6170597672462463},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.56843501329422},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5553939938545227},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5388815402984619},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5020856857299805},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.45480769872665405},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4053177237510681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25622302293777466},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.19915813207626343},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.12364178895950317},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07847622036933899}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8917162418365479},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.7125682234764099},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.7120376825332642},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6354369521141052},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6170597672462463},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.56843501329422},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5553939938545227},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5388815402984619},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5020856857299805},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.45480769872665405},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4053177237510681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25622302293777466},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19915813207626343},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.12364178895950317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07847622036933899},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3372025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372025","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2308.00463","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.00463","pdf_url":"https://arxiv.org/pdf/2308.00463","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.00463","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.00463","pdf_url":"https://arxiv.org/pdf/2308.00463","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4099999964237213,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G5274407652","display_name":null,"funder_award_id":"61702364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8075617114","display_name":null,"funder_award_id":"2019YFB2101901","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2997234356.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1943579973","https://openalex.org/W1944581517","https://openalex.org/W2009990213","https://openalex.org/W2011039300","https://openalex.org/W2082363997","https://openalex.org/W2121863487","https://openalex.org/W2132467458","https://openalex.org/W2145339207","https://openalex.org/W2152278424","https://openalex.org/W2155893237","https://openalex.org/W2165131254","https://openalex.org/W2195423816","https://openalex.org/W2257979135","https://openalex.org/W2344474109","https://openalex.org/W2415391790","https://openalex.org/W2416799949","https://openalex.org/W2530417694","https://openalex.org/W2605601615","https://openalex.org/W2605800822","https://openalex.org/W2606537796","https://openalex.org/W2624989916","https://openalex.org/W2678047256","https://openalex.org/W2743843812","https://openalex.org/W2751904527","https://openalex.org/W2776507577","https://openalex.org/W2791432311","https://openalex.org/W2801270058","https://openalex.org/W2891713004","https://openalex.org/W2905229488","https://openalex.org/W2963334314"],"related_works":["https://openalex.org/W2894114519","https://openalex.org/W2920581164","https://openalex.org/W4282941432","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4309428690","https://openalex.org/W4313526662","https://openalex.org/W3200145713","https://openalex.org/W3111395152","https://openalex.org/W4312996489"],"abstract_inverted_index":{"With":[0],"the":[1,4,10,17,41,49,64,113,121,136,144,165,171,177,180,184,188,193],"development":[2],"of":[3,6,12,19,40,66,138,173,179,186],"Internet":[5],"Things":[7],"(IoT)":[8],"and":[9,35,75,118,127,142,154,182,190],"birth":[11],"various":[13,174],"new":[14],"IoT":[15,21,55,89,125,194],"devices,":[16],"capacity":[18],"massive":[20],"devices":[22,56,90,126],"is":[23,100,146,162],"facing":[24],"challenges.":[25],"Fortunately,":[26],"edge":[27,45],"computing":[28],"can":[29,57],"optimize":[30],"problems":[31],"such":[32],"as":[33],"delay":[34],"connectivity":[36],"by":[37],"offloading":[38,71,140,159],"part":[39],"computational":[42],"tasks":[43],"to":[44,48,91,102,111],"nodes":[46],"close":[47],"data":[50],"source.":[51],"Using":[52],"this":[53,131],"feature,":[54],"save":[58],"more":[59],"resources":[60],"while":[61],"still":[62],"maintaining":[63],"quality":[65],"service.":[67],"However,":[68],"since":[69],"computation":[70,139],"decisions":[72],"concern":[73],"joint":[74],"complex":[76],"resource":[77],"management,":[78],"we":[79,133,156,169],"use":[80],"multiple":[81],"Deep":[82],"Reinforcement":[83],"Learning":[84,98],"(DRL)":[85],"agents":[86,105],"deployed":[87],"on":[88,152,176],"guide":[92],"their":[93],"own":[94],"decisions.":[95],"Besides,":[96],"Federated":[97],"(FL)":[99],"utilized":[101],"train":[103],"DRL":[104,153,189],"in":[106,192],"a":[107],"distributed":[108],"fashion,":[109],"aiming":[110],"make":[112],"DRL-based":[114],"decision":[115],"making":[116],"practical":[117],"further":[119],"decrease":[120],"transmission":[122],"cost":[123],"between":[124],"Edge":[128],"Nodes.":[129],"In":[130],"article,":[132],"first":[134],"study":[135],"problem":[137,145],"optimization":[141],"prove":[143],"an":[147,158],"NP-hard":[148],"problem.":[149],"Then,":[150],"based":[151],"FL,":[155],"propose":[157],"algorithm":[160,181],"that":[161],"different":[163],"from":[164],"traditional":[166],"method.":[167],"Finally,":[168],"studied":[170],"effects":[172],"parameters":[175],"performance":[178],"verified":[183],"effectiveness":[185],"both":[187],"FL":[191],"system.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":24}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}