{"id":"https://openalex.org/W4205960919","doi":"https://doi.org/10.1109/dyspan53946.2021.9677146","title":"A Lightweight Decentralized Reinforcement Learning Based Channel Selection Approach for High-Density LoRaWAN","display_name":"A Lightweight Decentralized Reinforcement Learning Based Channel Selection Approach for High-Density LoRaWAN","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4205960919","doi":"https://doi.org/10.1109/dyspan53946.2021.9677146"},"language":"en","primary_location":{"id":"doi:10.1109/dyspan53946.2021.9677146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan53946.2021.9677146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","raw_type":"proceedings-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/A5058717745","display_name":"Aohan Li","orcid":"https://orcid.org/0000-0003-0618-4894"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Aohan Li","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054125739","display_name":"Minoru Fujisawa","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minoru Fujisawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030998487","display_name":"Ikumi Urabe","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ikumi Urabe","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032269577","display_name":"Ryoma Kitagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryoma Kitagawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011360511","display_name":"Song-Ju Kim","orcid":"https://orcid.org/0000-0003-2369-7448"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Song-Ju Kim","raw_affiliation_strings":["Graduate School of Media and Governance, Keio University, Kanagawa, Japan","SOBIN Institute LLC, Kawanishi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Media and Governance, Keio University, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"SOBIN Institute LLC, Kawanishi, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056390537","display_name":"Mikio Hasegawa","orcid":"https://orcid.org/0000-0001-5638-8022"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Hasegawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058717745"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.9152,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74857739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","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"}},"topics":[{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9955999851226807,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9916999936103821,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8223711848258972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8073657751083374},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6633816957473755},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6514722108840942},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6322956681251526},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5177634954452515},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45922794938087463},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.284882128238678},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22426244616508484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21684545278549194}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8223711848258972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8073657751083374},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6633816957473755},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6514722108840942},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6322956681251526},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5177634954452515},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45922794938087463},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.284882128238678},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22426244616508484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21684545278549194}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dyspan53946.2021.9677146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan53946.2021.9677146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1596912335","https://openalex.org/W2003432911","https://openalex.org/W2187642949","https://openalex.org/W2791233940","https://openalex.org/W2883581936","https://openalex.org/W2884945696","https://openalex.org/W2896592586","https://openalex.org/W2921676428","https://openalex.org/W2973231024","https://openalex.org/W2990612183","https://openalex.org/W3010248974","https://openalex.org/W3102639634","https://openalex.org/W3105509069","https://openalex.org/W3124137347","https://openalex.org/W3124677098","https://openalex.org/W3134372094","https://openalex.org/W3138127094","https://openalex.org/W3156032009","https://openalex.org/W3177095755","https://openalex.org/W3201123183","https://openalex.org/W6789549409"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W4306904969","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W2138720691","https://openalex.org/W4362501864"],"abstract_inverted_index":{"It":[0],"is":[1,141],"predicted":[2],"that":[3,155],"the":[4,23,31,35,48,59,81,84,149],"number":[5,24],"of":[6,25,34,54,63,83,136],"IoT":[7,18,36,43,71,99,108,124],"devices":[8,19,26,55,72,109,125,147],"will":[9,20,29],"reach":[10],"125":[11],"billion":[12],"by":[13,143],"2030.":[14],"The":[15],"collisions":[16,40,122,162],"among":[17,41,123],"increase":[21],"as":[22],"grows,":[27],"which":[28],"reduce":[30],"communication":[32,52],"performance":[33],"systems.":[37],"To":[38,79],"avoid":[39,121,161],"high-density":[42,98,164],"devices,":[44],"some":[45],"researchers":[46],"studied":[47],"solutions":[49],"to":[50,58,67,70,120,174],"adapt":[51],"parameters":[53],"including":[56],"channels":[57,113,172],"environment.":[60],"However,":[61],"most":[62],"them":[64],"are":[65],"difficult":[66],"be":[68],"applied":[69],"with":[73,126,167],"limited":[74],"memory":[75,131],"and":[76,130,168],"computational":[77,128],"ability.":[78],"solve":[80],"disadvantages":[82],"existing":[85],"work,":[86],"we":[87],"propose":[88],"a":[89],"lightweight":[90,176],"decentralized":[91],"reinforcement":[92,177],"learning-based":[93,178],"channel":[94,179],"selection":[95,180],"approach":[96,158],"for":[97],"systems":[100],"in":[101,134,148,163],"this":[102],"paper.":[103],"In":[104],"our":[105,156],"proposed":[106,157],"approach,":[107],"can":[110,159],"select":[111],"appropriate":[112],"only":[114],"based":[115],"on":[116],"Acknowledge":[117],"(ACK)":[118],"information":[119],"low":[127],"complexity":[129],"requirement.":[132],"Performance":[133],"terms":[135],"frame":[137],"success":[138],"rate":[139],"(FSR)":[140],"evaluated":[142],"experiments":[144],"using":[145],"LoRa":[146],"real":[150],"world.":[151],"Experimental":[152],"results":[153],"show":[154],"efficiently":[160],"LoRaWAN":[165],"both":[166],"without":[169],"varying":[170],"available":[171],"compared":[173],"other":[175],"approaches.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}