{"id":"https://openalex.org/W4400277172","doi":"https://doi.org/10.1109/wcnc57260.2024.10570642","title":"Graph Reinforcement Learning Based Multi-Hotspot Region UAV Dynamic Scheduling in Mobile Edge Computing","display_name":"Graph Reinforcement Learning Based Multi-Hotspot Region UAV Dynamic Scheduling in Mobile Edge Computing","publication_year":2024,"publication_date":"2024-04-21","ids":{"openalex":"https://openalex.org/W4400277172","doi":"https://doi.org/10.1109/wcnc57260.2024.10570642"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc57260.2024.10570642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5101749133","display_name":"Xiaowei Zhao","orcid":"https://orcid.org/0000-0001-9631-1177"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaowei Zhao","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111247583","display_name":"Hua Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yang","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101931446","display_name":"Mingchu Li","orcid":"https://orcid.org/0000-0001-7969-6415"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchu Li","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101749133"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.3653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5836479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.8942000269889832,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.8942000269889832,"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/T11133","display_name":"UAV Applications and Optimization","score":0.878600001335144,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.8385000228881836,"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/computer-science","display_name":"Computer science","score":0.7939270734786987},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7556242942810059},{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.7306811213493347},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49368080496788025},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4700946509838104},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4510103166103363},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.4455045759677887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30315250158309937},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.20138725638389587},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16975101828575134},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.07860708236694336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939270734786987},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7556242942810059},{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.7306811213493347},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49368080496788025},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4700946509838104},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4510103166103363},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4455045759677887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30315250158309937},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.20138725638389587},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16975101828575134},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.07860708236694336},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc57260.2024.10570642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc57260.2024.10570642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8563464839","display_name":null,"funder_award_id":"T2350710232,62376049","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":19,"referenced_works":["https://openalex.org/W2416799949","https://openalex.org/W2768475350","https://openalex.org/W2900811403","https://openalex.org/W2920054549","https://openalex.org/W3011869236","https://openalex.org/W3090573937","https://openalex.org/W3140381130","https://openalex.org/W3143407182","https://openalex.org/W3197148111","https://openalex.org/W3215343781","https://openalex.org/W3216768220","https://openalex.org/W4210389721","https://openalex.org/W4214866088","https://openalex.org/W4220747190","https://openalex.org/W4285159124","https://openalex.org/W4290996206","https://openalex.org/W4295789133","https://openalex.org/W4313053130","https://openalex.org/W4313291221"],"related_works":["https://openalex.org/W2379637199","https://openalex.org/W2405057786","https://openalex.org/W2501832907","https://openalex.org/W2063054109","https://openalex.org/W2079602762","https://openalex.org/W2580355466","https://openalex.org/W4306904969","https://openalex.org/W2765519165","https://openalex.org/W1888682135","https://openalex.org/W2138720691"],"abstract_inverted_index":{"With":[0],"the":[1,26,47,81,98,118,126,133,137,146,152,158,163,171],"increasing":[2],"number":[3],"of":[4,28,52,85,102,136,151,176],"IoT":[5],"devices,":[6],"human":[7],"activities":[8],"tend":[9],"to":[10,19,25,43,79,116,157],"create":[11],"dynamic":[12,22,48,99,109],"multi-hotspot":[13,55],"regions,":[14],"which":[15,77],"cannot":[16],"be":[17],"adapted":[18],"such":[20],"highly":[21],"scenarios":[23],"due":[24],"immobility":[27],"base":[29],"station":[30],"edge":[31],"servers.":[32],"UAVs":[33,53,86,103],"serve":[34],"as":[35,107,140,143,145,155],"an":[36,58],"effective":[37],"solution":[38],"but":[39],"have":[40],"limited":[41],"resources":[42],"carry,":[44],"thus,":[45],"solving":[46],"scheduling":[49,100],"and":[50,92,112,120,148],"collaboration":[51],"in":[54,174],"regions":[56],"is":[57],"important":[59],"problem.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64,96],"propose":[65],"a":[66,108],"scheme":[67],"called":[68],"Dynamic":[69],"Scheduling":[70],"based":[71],"on":[72],"Graph":[73],"Reinforcement":[74],"Learning":[75],"(DSGR),":[76],"aims":[78],"maximize":[80],"long-term":[82],"energy":[83,178],"efficiency":[84],"by":[87],"optimizing":[88],"their":[89],"flight":[90,128],"trajectories":[91],"charging":[93],"timing.":[94],"First,":[95],"abstract":[97],"problem":[101],"among":[104,123],"multiple":[105],"hotspots":[106,153],"topological":[110],"graph":[111,114,138],"use":[113],"convolution":[115],"learn":[117],"temporal":[119,147],"spatial":[121,149],"relationships":[122,150],"hotspots.":[124],"Then,":[125],"UAV":[127,177],"strategies":[129],"are":[130],"learned":[131],"using":[132],"neighbor":[134],"vectors":[135],"nodes":[139],"action":[141],"masks":[142],"well":[144],"modeled":[154],"inputs":[156],"PPO":[159],"network.":[160],"Compared":[161],"with":[162],"benchmark":[164],"algorithm,":[165],"our":[166],"proposed":[167],"DSGR":[168],"algorithm":[169],"achieves":[170],"best":[172],"performance":[173],"terms":[175],"efficiency.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}