{"id":"https://openalex.org/W3009270007","doi":"https://doi.org/10.1109/icoin48656.2020.9016432","title":"Machine Learning Based Edge-Assisted UAV Computation Offloading for Data Analyzing","display_name":"Machine Learning Based Edge-Assisted UAV Computation Offloading for Data Analyzing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009270007","doi":"https://doi.org/10.1109/icoin48656.2020.9016432","mag":"3009270007"},"language":"en","primary_location":{"id":"doi:10.1109/icoin48656.2020.9016432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin48656.2020.9016432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information Networking (ICOIN)","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/A5100752295","display_name":"Kitae Kim","orcid":"https://orcid.org/0000-0003-0803-3547"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kitae Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080491022","display_name":"Yu Min Park","orcid":"https://orcid.org/0000-0001-8836-4500"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yu Min Park","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":24.4816,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98935993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"117","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.992900013923645,"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":0.8377349972724915},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6931864023208618},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6428665518760681},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.6309683322906494},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5924644470214844},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5431110858917236},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4875023066997528},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.48120811581611633},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.479218065738678},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45019885897636414},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.44999775290489197},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43871310353279114},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43429094552993774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27068257331848145},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2330024242401123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13365167379379272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8377349972724915},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6931864023208618},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6428665518760681},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.6309683322906494},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5924644470214844},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5431110858917236},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4875023066997528},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.48120811581611633},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.479218065738678},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45019885897636414},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.44999775290489197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43871310353279114},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43429094552993774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27068257331848145},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2330024242401123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13365167379379272},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icoin48656.2020.9016432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin48656.2020.9016432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"},{"id":"mag:3092053506","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002264149756098","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2900839710","https://openalex.org/W2904615053","https://openalex.org/W2959943703","https://openalex.org/W2964011490","https://openalex.org/W2983377981"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2917127270","https://openalex.org/W2896883851","https://openalex.org/W2902693277","https://openalex.org/W4378977105"],"abstract_inverted_index":{"Recently,":[0],"Combining":[1],"communication":[2,103],"technology":[3],"with":[4],"Unmanned":[5],"Aerial":[6],"Vehicle":[7],"(UAV)":[8],"have":[9],"been":[10],"regarding":[11],"as":[12,30],"one":[13],"of":[14,50,117,149,195,216,222],"the":[15,19,47,91,114,132,159,163,178,182,187],"promising":[16],"techniques":[17],"in":[18,33,39,147,193,212],"future":[20],"network.":[21],"Various":[22],"services":[23],"can":[24,75],"be":[25],"served":[26],"through":[27],"UAV,":[28],"such":[29,64],"information":[31],"collection":[32],"disaster":[34],"area":[35],"or":[36],"traffic":[37],"monitoring":[38],"smart":[40],"city.":[41],"However,":[42,90],"on-board":[43],"computation":[44,124],"resource":[45],"and":[46,102,144,167,190,199,218],"battery":[48],"lifetime":[49],"UAV":[51,74,121,143,217],"are":[52],"limited.":[53],"For":[54],"that":[55,86,206],"reason,":[56],"there":[57],"is":[58,210],"a":[59,173],"limit":[60],"to":[61,108,122,157,161,176],"perform":[62],"analysis,":[63],"as,":[65],"machine":[66,118],"learning":[67,119],"using":[68],"collected":[69],"data.":[70],"In":[71,105,181],"this":[72,106,110],"situation,":[73],"get":[76],"help":[77],"from":[78],"an":[79],"adjacent":[80],"Mobile":[81],"Edge":[82],"Computing":[83],"(MEC)":[84],"server":[85,94,156],"has":[87],"computing":[88,100],"resources.":[89],"closest":[92],"MEC":[93,123,155],"does":[95],"not":[96],"always":[97],"guarantee":[98],"optimal":[99,154],"performance":[101],"efficiency.":[104,151],"paper,":[107],"solve":[109,177],"problem,":[111],"we":[112,130,137,171,185],"propose":[113],"overall":[115],"system":[116],"based":[120],"offloading":[125],"for":[126],"data":[127],"analyzing.":[128],"First,":[129],"define":[131,138],"problems":[133,140],"into":[134],"two.":[135],"Firstly,":[136],"two":[139,179],"1)":[141],"matching":[142],"task":[145,160],"cluster":[146],"consideration":[148],"energy":[150,168,197,214],"2)":[152],"Finding":[153],"offload":[158],"minimize":[162],"total":[164,196,200,213,219],"processing":[165,201,220],"time":[166,221],"consumption.":[169],"Then,":[170],"apply":[172],"machine-learning":[174],"algorithm":[175],"problems.":[180],"simulation":[183],"section,":[184],"analyze":[186],"proposed":[188,208],"method":[189,192],"greedy":[191],"terms":[194],"consumption":[198,215],"time.":[202],"Simulation":[203],"results":[204],"demonstrate":[205],"our":[207],"mechanism":[209],"efficient":[211],"tasks.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}