{"id":"https://openalex.org/W4206931804","doi":"https://doi.org/10.1109/tvt.2022.3144277","title":"Deep Reinforcement Learning Approach for Joint Trajectory Design in Multi-UAV IoT Networks","display_name":"Deep Reinforcement Learning Approach for Joint Trajectory Design in Multi-UAV IoT Networks","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4206931804","doi":"https://doi.org/10.1109/tvt.2022.3144277"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3144277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3144277","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5102925634","display_name":"Shu Xu","orcid":"https://orcid.org/0000-0001-6153-0505"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Xu","raw_affiliation_strings":["School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6153-0505","affiliations":[{"raw_affiliation_string":"School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058416717","display_name":"Xiangyu Zhang","orcid":"https://orcid.org/0000-0003-1297-6951"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhang","raw_affiliation_strings":["School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1297-6951","affiliations":[{"raw_affiliation_string":"School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083864182","display_name":"Chunguo Li","orcid":"https://orcid.org/0000-0002-4689-7226"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguo Li","raw_affiliation_strings":["School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4689-7226","affiliations":[{"raw_affiliation_string":"School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737019","display_name":"Dongming Wang","orcid":"https://orcid.org/0000-0003-2762-6567"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongming Wang","raw_affiliation_strings":["School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2762-6567","affiliations":[{"raw_affiliation_string":"School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045457613","display_name":"L\u00fcxi Yang","orcid":"https://orcid.org/0000-0003-1474-1806"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxi Yang","raw_affiliation_strings":["School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1474-1806","affiliations":[{"raw_affiliation_string":"School of Infomation Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":29.3406,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.99555088,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"71","issue":"3","first_page":"3389","last_page":"3394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":1.0,"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":1.0,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9939000010490417,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9754999876022339,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8453407883644104},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.7642124891281128},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.710483193397522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639499306678772},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6236213445663452},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6181217432022095},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.47354620695114136},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.46702340245246887},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4337230920791626},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3864558935165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3366140127182007},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2841915488243103},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17743080854415894},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1273822784423828}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8453407883644104},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.7642124891281128},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.710483193397522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639499306678772},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6236213445663452},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6181217432022095},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.47354620695114136},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.46702340245246887},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4337230920791626},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3864558935165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3366140127182007},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2841915488243103},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17743080854415894},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1273822784423828},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2022.3144277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3144277","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3630466707","display_name":null,"funder_award_id":"U1936201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7900524298","display_name":null,"funder_award_id":"62171119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8475670238","display_name":"\u6df1\u5ea6\u5b66\u4e60\u8f85\u52a9\u7684\u667a\u80fd\u65e0\u7ebf\u901a\u4fe1\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971128","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2268751503","https://openalex.org/W2626637010","https://openalex.org/W2952736579","https://openalex.org/W2963061782","https://openalex.org/W2963285294","https://openalex.org/W2963569053","https://openalex.org/W2969525674","https://openalex.org/W2994008524","https://openalex.org/W2995862989","https://openalex.org/W3172394904","https://openalex.org/W4298857966","https://openalex.org/W6637967152","https://openalex.org/W6638088447","https://openalex.org/W6685444567","https://openalex.org/W6739516088"],"related_works":["https://openalex.org/W4311097251","https://openalex.org/W4245926026","https://openalex.org/W4317634134","https://openalex.org/W2586548817","https://openalex.org/W2889566344","https://openalex.org/W2981729160","https://openalex.org/W2743212448","https://openalex.org/W4362501864","https://openalex.org/W1819938260","https://openalex.org/W2340892746"],"abstract_inverted_index":{"In":[0],"this":[1,57],"paper,":[2],"we":[3],"investigate":[4],"an":[5],"unmanned":[6],"aerial":[7],"vehicle":[8],"(UAV)":[9],"communication":[10,46],"system,":[11],"where":[12],"the":[13,20,31,42,63,98],"trajectories":[14],"of":[15,24,36,100],"multi-UAVs":[16],"are":[17,89],"designed":[18],"for":[19],"data":[21],"collection":[22],"mission":[23,32],"IoT":[25],"nodes.":[26],"We":[27,50],"aim":[28],"at":[29],"minimizing":[30],"time":[33],"with":[34,71],"constraints":[35],"UAV\u2019s":[37],"maximum":[38],"speed":[39],"and":[40,45,66,75,85],"acceleration,":[41],"collision":[43,83],"avoidance,":[44],"interference":[47,86],"among":[48,87],"UAVs.":[49],"propose":[51],"a":[52,72,76],"three-step":[53],"approach":[54],"to":[55],"solve":[56],"problem,":[58],"which":[59],"is":[60],"based":[61],"on":[62],"K-means":[64],"algorithm,":[65],"Deep":[67],"Reinforcement":[68],"Learning":[69],"(DRL)":[70],"distributed":[73],"manner":[74],"centralized":[77],"manner.":[78],"The":[79],"mutual":[80],"influences":[81],"like":[82],"avoidance":[84],"UAVs":[88],"explicitly":[90],"expressed":[91],"in":[92],"our":[93,101],"algorithm.":[94],"Numerical":[95],"results":[96],"show":[97],"advantage":[99],"proposed":[102],"approach.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
