{"id":"https://openalex.org/W4401943289","doi":"https://doi.org/10.1109/tnsm.2024.3450964","title":"Energy Efficient UAV-Assisted IoT Data Collection: A Graph-Based Deep Reinforcement Learning Approach","display_name":"Energy Efficient UAV-Assisted IoT Data Collection: A Graph-Based Deep Reinforcement Learning Approach","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4401943289","doi":"https://doi.org/10.1109/tnsm.2024.3450964"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2024.3450964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2024.3450964","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Transactions on Network and Service Management","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/A5101932319","display_name":"Qianqian Wu","orcid":"https://orcid.org/0000-0001-8467-4034"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Wu","raw_affiliation_strings":["Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8467-4034","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409425","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0001-5735-8642"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5735-8642","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034703343","display_name":"Wenliang Zhu","orcid":"https://orcid.org/0000-0002-7870-8530"},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenliang Zhu","raw_affiliation_strings":["Institute of Telecommunication and Navigation Satellite, China Academy of Space Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication and Navigation Satellite, China Academy of Space Technology, Beijing, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100594935","display_name":"Zefan Wu","orcid":"https://orcid.org/0009-0002-7381-2491"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefan Wu","raw_affiliation_strings":["Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Transportation Data Analysis and Mining, School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.9389,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.98743485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"6","first_page":"6082","last_page":"6094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9943000078201294,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9934999942779541,"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":0.8529917001724243},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8316165208816528},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.564325213432312},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5306205749511719},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4623066186904907},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4523244798183441},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3634747564792633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35831665992736816},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32856687903404236},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.24065262079238892},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16001573204994202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8529917001724243},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8316165208816528},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.564325213432312},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5306205749511719},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4623066186904907},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4523244798183441},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3634747564792633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35831665992736816},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32856687903404236},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.24065262079238892},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16001573204994202},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/tnsm.2024.3450964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2024.3450964","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G5649489718","display_name":null,"funder_award_id":"2023YJS104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2206930994","https://openalex.org/W2754349741","https://openalex.org/W2922260520","https://openalex.org/W2962691117","https://openalex.org/W3037858978","https://openalex.org/W3102527375","https://openalex.org/W3114888985","https://openalex.org/W3162366242","https://openalex.org/W3171715134","https://openalex.org/W3173386267","https://openalex.org/W3199843466","https://openalex.org/W4213165131","https://openalex.org/W4213433215","https://openalex.org/W4226457030","https://openalex.org/W4283211846","https://openalex.org/W4285211583","https://openalex.org/W4285287670","https://openalex.org/W4293258801","https://openalex.org/W4293428522","https://openalex.org/W4295789133","https://openalex.org/W4312688242","https://openalex.org/W4312704551","https://openalex.org/W4313187004","https://openalex.org/W4321021068","https://openalex.org/W4321609790","https://openalex.org/W4328007770","https://openalex.org/W4386285856","https://openalex.org/W4386590944","https://openalex.org/W6846938109"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W4306904969","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W2138720691","https://openalex.org/W4362501864"],"abstract_inverted_index":{"With":[0],"the":[1,33,57,65,75,121],"advancements":[2],"in":[3,16,116],"technologies":[4],"such":[5],"as":[6,40,98],"5G,":[7],"Unmanned":[8],"Aerial":[9],"Vehicles":[10],"(UAVs)":[11],"have":[12],"exhibited":[13],"their":[14],"potential":[15],"various":[17],"application":[18],"scenarios,":[19],"including":[20],"wireless":[21],"coverage,":[22],"search":[23],"operations,":[24],"and":[25,113,137],"disaster":[26],"response.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,82,126],"consider":[32],"utilization":[34],"of":[35,38,59,71,77,123],"a":[36,84,117],"group":[37],"UAVs":[39,112],"aerial":[41],"base":[42],"stations":[43],"(BS)":[44],"to":[45,55,97,106,131],"collect":[46],"data":[47,61],"from":[48],"IoT":[49],"sensor":[50],"devices.":[51],"The":[52],"objective":[53],"is":[54],"maximize":[56],"volume":[58],"collected":[60],"while":[62],"simultaneously":[63],"enhancing":[64],"geographical":[66],"fairness":[67],"among":[68,110],"these":[69],"points":[70],"interest,":[72],"all":[73],"within":[74],"constraints":[76],"limited":[78],"energy":[79],"resources.":[80],"Therefore,":[81],"propose":[83],"deep":[85],"reinforcement":[86],"learning":[87],"(DRL)":[88],"method":[89],"based":[90],"on":[91],"Graph":[92],"Attention":[93],"Networks":[94],"(GAT),":[95],"referred":[96],"\u201cGADRL\u201d.":[99],"GADRL":[100,145],"utilizes":[101],"graph":[102],"convolutional":[103],"neural":[104],"networks":[105],"extract":[107],"spatial":[108],"correlations":[109],"multiple":[111],"makes":[114],"decisions":[115],"distributed":[118],"manner":[119],"under":[120],"guidance":[122],"DRL.":[124],"Furthermore,":[125],"employ":[127],"Long":[128],"Short-Term":[129],"Memory":[130],"establish":[132],"memory":[133],"units":[134],"for":[135],"storing":[136],"utilizing":[138],"historical":[139],"information.":[140],"Numerical":[141],"results":[142],"demonstrate":[143],"that":[144],"consistently":[146],"outperforms":[147],"four":[148],"baseline":[149],"methods,":[150],"validating":[151],"its":[152],"computational":[153],"efficiency.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
