{"id":"https://openalex.org/W4312334516","doi":"https://doi.org/10.1109/jiot.2022.3214860","title":"Reinforcement-Learning-Based Optimization on Energy Efficiency in UAV Networks for IoT","display_name":"Reinforcement-Learning-Based Optimization on Energy Efficiency in UAV Networks for IoT","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4312334516","doi":"https://doi.org/10.1109/jiot.2022.3214860"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3214860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3214860","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/A5003106501","display_name":"Dan Deng","orcid":"https://orcid.org/0000-0001-7760-5663"},"institutions":[{"id":"https://openalex.org/I4210104080","display_name":"Guangzhou Panyu Polytechnic","ror":"https://ror.org/01j9jcf33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104080"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Deng","raw_affiliation_strings":["School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7760-5663","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangzhou Panyu Polytechnic, Guangzhou, China","institution_ids":["https://openalex.org/I4210104080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767006","display_name":"Junxia Li","orcid":"https://orcid.org/0000-0001-5191-3166"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxia Li","raw_affiliation_strings":["School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037977430","display_name":"Rutvij H. Jhaveri","orcid":"https://orcid.org/0000-0002-3285-7346"},"institutions":[{"id":"https://openalex.org/I33586908","display_name":"Pandit Deendayal Energy University","ror":"https://ror.org/02nsv5p42","country_code":"IN","type":"education","lineage":["https://openalex.org/I33586908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rutvij H. Jhaveri","raw_affiliation_strings":["Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, India"],"raw_orcid":"https://orcid.org/0000-0002-3285-7346","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gandhinagar, India","institution_ids":["https://openalex.org/I33586908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082046789","display_name":"Prayag Tiwari","orcid":"https://orcid.org/0000-0002-2851-4260"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Prayag Tiwari","raw_affiliation_strings":["School of Information Technology, Halmstad University, Halmstad, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-2851-4260","affiliations":[{"raw_affiliation_string":"School of Information Technology, Halmstad University, Halmstad, Sweden","institution_ids":["https://openalex.org/I746986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002900384","display_name":"Muhammad Fazal Ijaz","orcid":"https://orcid.org/0000-0001-5206-272X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muhammad Fazal Ijaz","raw_affiliation_strings":["Department of Mechanical Engineering, University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5206-272X","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084098193","display_name":"Jiangtao Ou","orcid":"https://orcid.org/0000-0002-7891-9426"},"institutions":[{"id":"https://openalex.org/I4210105878","display_name":"South China Robotics Innovative Research Institute","ror":"https://ror.org/017veh155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210105878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Ou","raw_affiliation_strings":["Research and Development Center, AI Sensing Technology, Foshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Center, AI Sensing Technology, Foshan, China","institution_ids":["https://openalex.org/I4210105878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078578897","display_name":"Chengyuan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105878","display_name":"South China Robotics Innovative Research Institute","ror":"https://ror.org/017veh155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210105878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyuan Fan","raw_affiliation_strings":["Research and Development Center, AI Sensing Technology, Foshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Center, AI Sensing Technology, Foshan, China","institution_ids":["https://openalex.org/I4210105878"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8292,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.96671281,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"10","issue":"3","first_page":"2767","last_page":"2775"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9998000264167786,"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":0.9988999962806702,"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":0.8033115863800049},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7773153781890869},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5742903351783752},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.500596284866333},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4989807605743408},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49650460481643677},{"id":"https://openalex.org/keywords/fractional-programming","display_name":"Fractional programming","score":0.4519769847393036},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.42200908064842224},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4103623330593109},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.23700907826423645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18709930777549744},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1634785532951355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14969879388809204},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.11024108529090881},{"id":"https://openalex.org/keywords/nonlinear-programming","display_name":"Nonlinear programming","score":0.08745020627975464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08060464262962341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033115863800049},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7773153781890869},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5742903351783752},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.500596284866333},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4989807605743408},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49650460481643677},{"id":"https://openalex.org/C169069869","wikidata":"https://www.wikidata.org/wiki/Q5477546","display_name":"Fractional programming","level":4,"score":0.4519769847393036},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.42200908064842224},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4103623330593109},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.23700907826423645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18709930777549744},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1634785532951355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14969879388809204},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.11024108529090881},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.08745020627975464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08060464262962341},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3214860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3214860","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7192485931","display_name":null,"funder_award_id":"2022A1515010999","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1967956032","https://openalex.org/W1996215314","https://openalex.org/W2178935672","https://openalex.org/W2784100701","https://openalex.org/W2896438087","https://openalex.org/W2896835129","https://openalex.org/W2905354310","https://openalex.org/W2913340256","https://openalex.org/W2922499173","https://openalex.org/W2948489744","https://openalex.org/W2962881190","https://openalex.org/W2963285294","https://openalex.org/W2964819384","https://openalex.org/W2968018638","https://openalex.org/W2972427178","https://openalex.org/W2972747336","https://openalex.org/W2989463999","https://openalex.org/W3000122352","https://openalex.org/W3003400964","https://openalex.org/W3010396974","https://openalex.org/W3014167764","https://openalex.org/W3024110024","https://openalex.org/W3025048143","https://openalex.org/W3027161420","https://openalex.org/W3037974908","https://openalex.org/W3042117971","https://openalex.org/W3042948545","https://openalex.org/W3134527039","https://openalex.org/W3138263323","https://openalex.org/W3161133901","https://openalex.org/W3161168179","https://openalex.org/W3176727369","https://openalex.org/W3184734656","https://openalex.org/W3193468109","https://openalex.org/W3201909053","https://openalex.org/W4205940831","https://openalex.org/W4226266154"],"related_works":["https://openalex.org/W2756132392","https://openalex.org/W3035814349","https://openalex.org/W4285101096","https://openalex.org/W4382725876","https://openalex.org/W2084892497","https://openalex.org/W2115614142","https://openalex.org/W4320477335","https://openalex.org/W1561889708","https://openalex.org/W2275184629","https://openalex.org/W4400379223"],"abstract_inverted_index":{"The":[0],"combination":[1],"of":[2,19,25,32],"nonorthogonal":[3],"multiplex":[4],"access":[5],"and":[6,28],"unmanned":[7],"aerial":[8],"vehicles":[9],"(UAVs)":[10],"can":[11],"improve":[12],"the":[13,23,33,50,59,66,71,79,84,94],"energy":[14],"efficiency":[15],"(EE)":[16],"for":[17],"Internet":[18],"Things":[20],"(IoT).":[21],"On":[22],"condition":[24],"interference":[26],"constraint":[27],"minimum":[29],"achievable":[30],"rate":[31],"secondary":[34],"users,":[35],"we":[36],"propose":[37],"an":[38],"iterative":[39],"optimization":[40,74,89],"algorithm":[41,75],"on":[42],"EE.":[43],"First,":[44],"with":[45],"a":[46],"given":[47],"UAV":[48,96],"trajectory,":[49],"Dinkelbach":[51],"method-based":[52],"fractional":[53],"programming":[54],"is":[55,76,90],"adopted":[56,77],"to":[57,82,92],"obtain":[58,93],"optimal":[60],"transmission":[61],"power":[62,68],"factors.":[63],"By":[64],"using":[65],"previous":[67],"allocation":[69],"scheme,":[70],"successive":[72],"convex":[73],"in":[78],"second":[80],"stage":[81],"update":[83],"system":[85],"parameters.":[86],"Finally,":[87],"reinforcement-learning-based":[88],"introduced":[91],"best":[95],"trajectory.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}