{"id":"https://openalex.org/W3157306268","doi":"https://doi.org/10.1109/icaiic51459.2021.9415208","title":"Relay Nodes Selection Using Reinforcement Learning","display_name":"Relay Nodes Selection Using Reinforcement Learning","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3157306268","doi":"https://doi.org/10.1109/icaiic51459.2021.9415208","mag":"3157306268"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic51459.2021.9415208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic51459.2021.9415208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022518762","display_name":"Haesik Kim","orcid":"https://orcid.org/0000-0002-6363-1876"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Haesik Kim","raw_affiliation_strings":["VTT Technical Research Centre of Finland, Oulu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VTT Technical Research Centre of Finland, Oulu, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054932044","display_name":"Takeo Fujii","orcid":"https://orcid.org/0000-0002-7886-5560"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Fujii","raw_affiliation_strings":["Advanced Wireless & Communication Research Center (AWCC), The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Wireless & Communication Research Center (AWCC), The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076133663","display_name":"Kenta Umebayashi","orcid":"https://orcid.org/0000-0002-4669-7187"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Umebayashi","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0852,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7161274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9994999766349792,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9994999766349792,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9954000115394592,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9936000108718872,"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/relay","display_name":"Relay","score":0.8576282262802124},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.787193775177002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.76862633228302},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6998463273048401},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6042821407318115},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5687587261199951},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5682955384254456},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.3783561587333679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21090054512023926},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.16060465574264526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13633078336715698}],"concepts":[{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.8576282262802124},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.787193775177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76862633228302},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6998463273048401},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6042821407318115},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5687587261199951},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5682955384254456},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3783561587333679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21090054512023926},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.16060465574264526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13633078336715698},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic51459.2021.9415208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic51459.2021.9415208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320325628","display_name":"Ministry of Internal Affairs and Communications","ror":"https://ror.org/00vs1pz50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1994302122","https://openalex.org/W2013858170","https://openalex.org/W2090849497","https://openalex.org/W2128087869","https://openalex.org/W2170304809","https://openalex.org/W2555365818","https://openalex.org/W2799130183","https://openalex.org/W3011120880"],"related_works":["https://openalex.org/W3096874164","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W1985560493","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W3168977894","https://openalex.org/W187740018"],"abstract_inverted_index":{"In":[0,24,108],"IoT":[1,66,116],"networks,":[2],"the":[3,14,28],"nodes":[4],"work":[5],"cooperatively.":[6],"They":[7],"receive":[8],"data":[9,42,121],"packets":[10,31],"and":[11,45],"re-transmit":[12],"to":[13,26,40,53,88,91],"sink":[15,54],"node":[16,52,57,112,133,154],"(or":[17],"fusion":[18],"node)":[19],"via":[20],"multiple":[21],"relay":[22,111,132,153],"nodes.":[23],"order":[25],"reduce":[27],"loss":[29],"of":[30,61,82],"as":[32,34,100,124],"well":[33],"power":[35],"consumption,":[36],"it":[37],"is":[38,59,87,122,136,147],"important":[39],"transmit":[41],"packet":[43],"successfully":[44],"find":[46,150],"an":[47,151],"optimal":[48,152],"path":[49],"from":[50],"source":[51],"node.":[55],"Relay":[56],"selection":[58,113,134,155],"one":[60],"key":[62],"research":[63],"challenges":[64],"in":[65,115],"networks.":[67],"The":[68,80,96,131],"reinforcement":[69],"learning":[70,140],"(RL)":[71],"deals":[72],"with":[73,118],"sequential":[74,83],"decision":[75,84,127],"making":[76,85],"problem":[77,86,114,135],"under":[78],"uncertainty.":[79],"goal":[81],"select":[89],"actions":[90],"maximize":[92],"long":[93],"term":[94],"rewards.":[95],"RL":[97],"has":[98],"emerged":[99],"a":[101,125,142],"powerful":[102],"method":[103],"for":[104],"many":[105],"different":[106],"areas.":[107],"this":[109],"paper,":[110],"networks":[117],"channel":[119,144],"measurement":[120,145],"formulated":[123],"Markov":[126],"process":[128],"(MDP)":[129],"problem.":[130],"solved":[137],"using":[138],"Q":[139],"when":[141],"local":[143],"map":[146],"given.":[148],"We":[149],"path.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
