{"id":"https://openalex.org/W3081323070","doi":"https://doi.org/10.1109/jiot.2020.3019186","title":"Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach","display_name":"Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach","publication_year":2020,"publication_date":"2020-08-24","ids":{"openalex":"https://openalex.org/W3081323070","doi":"https://doi.org/10.1109/jiot.2020.3019186","mag":"3081323070"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.3019186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3019186","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/A5100399848","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-0517-2392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0517-2392","affiliations":[{"raw_affiliation_string":"Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021527965","display_name":"Wei Ni","orcid":"https://orcid.org/0000-0002-4933-594X"},"institutions":[{"id":"https://openalex.org/I4210101388","display_name":"Health Sciences and Nutrition","ror":"https://ror.org/0152bt112","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210101388","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Ni","raw_affiliation_strings":["Digital Productivity and Services Flagship, Commonwealth Scientific and Industrial Research Organization, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4933-594X","affiliations":[{"raw_affiliation_string":"Digital Productivity and Services Flagship, Commonwealth Scientific and Industrial Research Organization, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I4210101388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078183455","display_name":"Eduardo Tovar","orcid":"https://orcid.org/0000-0001-8979-3876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eduardo Tovar","raw_affiliation_strings":["Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057916222","display_name":"Mohsen Guizani","orcid":"https://orcid.org/0000-0002-8972-8094"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohsen Guizani","raw_affiliation_strings":["Qatar University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0002-8972-8094","affiliations":[{"raw_affiliation_string":"Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":82.8803,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.99866873,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"8","issue":"12","first_page":"9787","last_page":"9799"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9979000091552734,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9975000023841858,"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":0.8315064907073975},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7456777095794678},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6221134662628174},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.5767503380775452},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5582274794578552},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5541606545448303},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46697449684143066},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46505269408226013},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4442763328552246},{"id":"https://openalex.org/keywords/cruise","display_name":"Cruise","score":0.44134142994880676},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3432202935218811},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3399142920970917},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.2968254089355469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28494933247566223},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.2305094599723816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17424964904785156},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.13345566391944885},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11715957522392273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315064907073975},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7456777095794678},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6221134662628174},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.5767503380775452},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5582274794578552},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5541606545448303},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46697449684143066},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46505269408226013},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4442763328552246},{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.44134142994880676},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3432202935218811},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3399142920970917},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2968254089355469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28494933247566223},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2305094599723816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17424964904785156},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.13345566391944885},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11715957522392273},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jiot.2020.3019186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3019186","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"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/150517","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/150517","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/35665","is_oa":false,"landing_page_url":"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85104378672&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1979833275","https://openalex.org/W2031433135","https://openalex.org/W2039409843","https://openalex.org/W2096698697","https://openalex.org/W2104250954","https://openalex.org/W2125001944","https://openalex.org/W2137152139","https://openalex.org/W2214621252","https://openalex.org/W2276486856","https://openalex.org/W2285553406","https://openalex.org/W2342830374","https://openalex.org/W2382354666","https://openalex.org/W2402144811","https://openalex.org/W2522615148","https://openalex.org/W2586992378","https://openalex.org/W2597364644","https://openalex.org/W2750306308","https://openalex.org/W2782363571","https://openalex.org/W2782943365","https://openalex.org/W2783103509","https://openalex.org/W2783184536","https://openalex.org/W2802164917","https://openalex.org/W2886509985","https://openalex.org/W2889656324","https://openalex.org/W2899223021","https://openalex.org/W2925554975","https://openalex.org/W2953384591","https://openalex.org/W2962889437","https://openalex.org/W2962890638","https://openalex.org/W2963035841","https://openalex.org/W2963061782","https://openalex.org/W2963576178","https://openalex.org/W2963721752","https://openalex.org/W2964018918","https://openalex.org/W2964114200","https://openalex.org/W2964125271","https://openalex.org/W2964209416","https://openalex.org/W2979035384","https://openalex.org/W3006708286","https://openalex.org/W3007091509","https://openalex.org/W3009869133","https://openalex.org/W3015351299","https://openalex.org/W3098379356","https://openalex.org/W3106530718","https://openalex.org/W4250589301","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W3096874164","https://openalex.org/W2096013579","https://openalex.org/W1589140671","https://openalex.org/W1760611253","https://openalex.org/W52153049","https://openalex.org/W2951545791","https://openalex.org/W1515117609","https://openalex.org/W2294884454","https://openalex.org/W2937181779","https://openalex.org/W2386410636"],"abstract_inverted_index":{"Employing":[0],"unmanned":[1],"aerial":[2,6],"vehicles":[3],"(UAVs)":[4],"as":[5,68,188],"data":[7,26,60,66,167],"collectors":[8],"in":[9,24,112,133],"Internet-of-Things":[10],"(IoT)":[11],"networks":[12],"is":[13,28,139],"a":[14,52,69,120,125],"promising":[15],"technology":[16],"for":[17],"large-scale":[18],"environment":[19],"sensing.":[20],"A":[21],"key":[22],"challenge":[23],"UAV-aided":[25,121],"collection":[27,61],"that":[29,179],"UAV":[30,165],"maneuvering":[31],"gives":[32],"rise":[33],"to":[34,45,63,86,156,190],"buffer":[35],"overflow":[36],"at":[37,142],"the":[38,77,87,101,110,113,136,143,158,164,173,182],"IoT":[39,81,116,122],"node":[40],"and":[41,59,105,131,166],"unsuccessful":[42],"transmission":[43],"due":[44],"lossy":[46],"airborne":[47],"channels.":[48],"This":[49],"article":[50],"formulates":[51],"joint":[53],"optimization":[54],"of":[55,79,103,115,128,163],"flight":[56,151,160],"cruise":[57,161],"control":[58,162],"schedule":[62],"minimize":[64],"network":[65,123,129,174],"loss":[67,184],"partially":[70],"observable":[71],"Markov":[72],"decision":[73],"process":[74],"(POMDP),":[75],"where":[76],"states":[78,130],"individual":[80],"nodes":[82],"can":[83,91],"be":[84,92],"obscure":[85],"UAV.":[88,144],"The":[89],"problem":[90],"optimally":[93],"solvable":[94],"by":[95,185],"reinforcement":[96],"learning,":[97],"but":[98],"suffers":[99],"from":[100],"curse":[102],"dimensionality":[104],"becomes":[106],"rapidly":[107],"intractable":[108],"with":[109],"growth":[111],"number":[114,127],"nodes.":[117],"In":[118],"practice,":[119],"contains":[124],"large":[126],"actions":[132],"POMDP":[134],"while":[135],"up-to-date":[137],"knowledge":[138,171],"not":[140],"available":[141],"We":[145],"propose":[146],"an":[147],"onboard":[148],"deep":[149],"Q-network-based":[150],"resource":[152],"allocation":[153],"scheme":[154],"(DQN-FRAS)":[155],"optimize":[157],"online":[159],"scheduling":[168],"given":[169],"outdated":[170],"on":[172],"states.":[175],"Numerical":[176],"results":[177],"demonstrate":[178],"DQN-FRAS":[180],"reduces":[181],"packet":[183],"over":[186],"51%,":[187],"compared":[189],"existing":[191],"nonlearning":[192],"heuristics.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":12}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
