{"id":"https://openalex.org/W3190732674","doi":"https://doi.org/10.1109/tii.2021.3098317","title":"Trustworthy Target Tracking With Collaborative Deep Reinforcement Learning in EdgeAI-Aided IoT","display_name":"Trustworthy Target Tracking With Collaborative Deep Reinforcement Learning in EdgeAI-Aided IoT","publication_year":2021,"publication_date":"2021-07-29","ids":{"openalex":"https://openalex.org/W3190732674","doi":"https://doi.org/10.1109/tii.2021.3098317","mag":"3190732674"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3098317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3098317","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5100353051","display_name":"Jiwei Zhang","orcid":"https://orcid.org/0000-0002-8910-2382"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiwei Zhang","raw_affiliation_strings":["School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086666436","display_name":"Md Zakirul Alam Bhuiyan","orcid":"https://orcid.org/0000-0002-9513-9990"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Zakirul Alam Bhuiyan","raw_affiliation_strings":["Department of Computer and Information Sciences, Fordham University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Fordham University, New York, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024122309","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0002-3194-8369"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Yang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634925","display_name":"Amit Kumar Singh","orcid":"https://orcid.org/0000-0001-7359-2068"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Kumar Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962233","display_name":"D. Frank Hsu","orcid":"https://orcid.org/0000-0003-0468-0843"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Frank Hsu","raw_affiliation_strings":["Department of Computer and Information Sciences, Fordham University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Fordham University, New York, NY, USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013740684","display_name":"Entao Luo","orcid":"https://orcid.org/0000-0002-9954-7270"},"institutions":[{"id":"https://openalex.org/I24407930","display_name":"Hunan University of Science and Engineering","ror":"https://ror.org/04ymz0q33","country_code":"CN","type":"education","lineage":["https://openalex.org/I24407930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Entao Luo","raw_affiliation_strings":["School of Electronics and Information Engineering, Hunan University of Science and Engineering, Yongzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Hunan University of Science and Engineering, Yongzhou, China","institution_ids":["https://openalex.org/I24407930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100353051"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":6.722,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96962531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"2","first_page":"1301","last_page":"1309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980999827384949,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6261011362075806},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6185185313224792},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5686207413673401},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.543828010559082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5345190167427063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261011362075806},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6185185313224792},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5686207413673401},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.543828010559082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5345190167427063},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3098317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3098317","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W2058118329","https://openalex.org/W2145339207","https://openalex.org/W2322341507","https://openalex.org/W2484393958","https://openalex.org/W2591882872","https://openalex.org/W2593804007","https://openalex.org/W2594320123","https://openalex.org/W2779465872","https://openalex.org/W2802356751","https://openalex.org/W2891713004","https://openalex.org/W2894909756","https://openalex.org/W2919115771","https://openalex.org/W2920270483","https://openalex.org/W2941971445","https://openalex.org/W2948689530","https://openalex.org/W2956161642","https://openalex.org/W2963063317","https://openalex.org/W2964248614","https://openalex.org/W2974991939","https://openalex.org/W2982656930","https://openalex.org/W3021256028","https://openalex.org/W3034590782","https://openalex.org/W3094447366","https://openalex.org/W3109858579","https://openalex.org/W3114165002","https://openalex.org/W6703780166","https://openalex.org/W6734730259","https://openalex.org/W6779060689","https://openalex.org/W6787782337"],"related_works":["https://openalex.org/W3074294383","https://openalex.org/W4206669594","https://openalex.org/W2959276766","https://openalex.org/W4295941380","https://openalex.org/W260766989","https://openalex.org/W3139193008","https://openalex.org/W3111983280","https://openalex.org/W3164468573","https://openalex.org/W3022038857","https://openalex.org/W4319083788"],"abstract_inverted_index":{"Mobile":[0],"target":[1,36,81,103,115,139],"tracking":[2,37,57,129,163],"with":[3,38,46,93,216],"artificial":[4],"intelligence":[5],"(AI)":[6],"approaches":[7],"such":[8,124],"as":[9,181],"deep":[10,134],"reinforcement":[11],"learning":[12],"(DRL)":[13],"in":[14,44,89,186],"edge-assisted":[15],"Internet":[16],"of":[17,56,71,82,96,119,151,158,169,188,201],"Things":[18],"(Edge-IoT)":[19],"platform":[20],"can":[21,165],"be":[22,177],"promising.":[23],"In":[24,63],"this":[25],"article,":[26],"we":[27,131],"propose":[28],"<monospace":[29,64,171,202],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[30,65,172,179,203],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DRLTrack</monospace>":[31,66,173,204],",":[32,67],"a":[33,39,68,80,94,133,167],"framework":[34],"for":[35],"collaborative":[40],"DRL":[41],"called":[42],"C-DRL":[43,107,160],"Edge-IoT":[45],"the":[47,90,102,106,114,117,128,138,149,152,156,159,199,206],"aim":[48],"to":[49,76,136,143,176],"obtain":[50],"two":[51,86],"major":[52],"objectives:":[53],"high":[54],"quality":[55],"(QoT)":[58],"and":[59,99,109,164,192,210],"resource-efficient":[60],"network":[61,91],"performance.":[62],"huge":[69],"number":[70],"IoT":[72,97,120],"devices":[73,88,98,154],"are":[74],"employed":[75],"collect":[77],"data":[78],"about":[79],"interest.":[83],"One":[84],"or":[85],"edge":[87,153],"coordinate":[92],"group":[95,118,142],"collaboratively":[100],"detect":[101],"by":[104,116],"using":[105],"approach":[108,161],"form":[110],"an":[111,125],"area":[112,126],"around":[113],"devices.":[121],"To":[122],"maintain":[123],"during":[127,162],"time,":[130],"employ":[132],"Q-network":[135],"track":[137],"from":[140],"one":[141],"another.":[144],"An":[145],"EdgeAI":[146],"sitting":[147],"on":[148],"top":[150],"has":[155],"control":[157],"identify":[166],"sequence":[168],"tracks.":[170],"is":[174],"said":[175],"<italic":[178],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">trustworthy</i>":[180],"it":[182,211],"shows":[183],"trustworthy":[184],"performance":[185,200,214],"terms":[187],"QoT,":[189],"dynamic":[190],"environments,":[191],"even":[193],"under":[194],"certain":[195],"cyberattacks.":[196],"We":[197],"validate":[198],"considering":[205],"objectives":[207],"through":[208],"simulations":[209],"demonstrates":[212],"superior":[213],"compared":[215],"existing":[217],"work.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":6}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}