{"id":"https://openalex.org/W4399154673","doi":"https://doi.org/10.1109/wf-iot58464.2023.10539541","title":"Weather-Aware LoRaWAN Channel Selection Using Bandit Algorithms","display_name":"Weather-Aware LoRaWAN Channel Selection Using Bandit Algorithms","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4399154673","doi":"https://doi.org/10.1109/wf-iot58464.2023.10539541"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot58464.2023.10539541","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wf-iot58464.2023.10539541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th World Forum on Internet of Things (WF-IoT)","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/A5108668834","display_name":"Sangeeth Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sangeeth Kumar","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Center for Wireless Networks & Applications (WNA),Amritapuri,India"],"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Center for Wireless Networks & Applications (WNA),Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108668834"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.1339,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49695365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9950000047683716,"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":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.6871738433837891},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.626049816608429},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5685793161392212},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5569695830345154},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.5274401307106018},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.46416786313056946},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45900484919548035},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.43831485509872437},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43301352858543396},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43104711174964905},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42773354053497314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35968083143234253},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.33262619376182556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3173074722290039},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18725460767745972},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1842770278453827},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17040416598320007},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16411679983139038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871738433837891},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.626049816608429},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5685793161392212},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5569695830345154},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.5274401307106018},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.46416786313056946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45900484919548035},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.43831485509872437},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43301352858543396},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43104711174964905},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42773354053497314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35968083143234253},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.33262619376182556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3173074722290039},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18725460767745972},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1842770278453827},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17040416598320007},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16411679983139038},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot58464.2023.10539541","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wf-iot58464.2023.10539541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2003432911","https://openalex.org/W2850054110","https://openalex.org/W2899571987","https://openalex.org/W2949433077","https://openalex.org/W2979467051","https://openalex.org/W2989972589","https://openalex.org/W2999987467","https://openalex.org/W3009602221","https://openalex.org/W3014072030","https://openalex.org/W3082011089","https://openalex.org/W3101261358","https://openalex.org/W3103232291","https://openalex.org/W3215161725","https://openalex.org/W4205960919","https://openalex.org/W4286256309","https://openalex.org/W4288786426","https://openalex.org/W4312116644"],"related_works":["https://openalex.org/W4306950403","https://openalex.org/W22721396","https://openalex.org/W2253573804","https://openalex.org/W4300167711","https://openalex.org/W2806700348","https://openalex.org/W2963347964","https://openalex.org/W1994455657","https://openalex.org/W2168752585","https://openalex.org/W2982213597","https://openalex.org/W2988991102"],"abstract_inverted_index":{"LoRaWAN":[0,75,178],"(Long":[1],"Range":[2],"Wide":[3],"Area":[4],"Networks)":[5],"has":[6],"a":[7,64,110,125],"broad":[8],"range":[9],"of":[10,26,51,66,95,105,140,152,162],"applications":[11],"in":[12],"outdoor":[13],"IoT":[14],"scenarios,":[15],"including":[16],"smart":[17],"cities,":[18],"agriculture,":[19],"and":[20,41,58,77,101,116,158],"disaster":[21],"management.":[22],"However,":[23],"the":[24,49,74,79,85,92,99,103,118,132,138,150],"performance":[25],"LoRa":[27],"Wansignals":[28],"is":[29,63,121,166],"significantly":[30],"affected":[31],"by":[32,123],"weather":[33,52,70,96,146,170],"conditions,":[34],"leading":[35],"to":[36,90,176],"decreased":[37],"Signal-to-Noise":[38],"Ratio":[39],"(SNR)":[40],"resulting":[42],"packet":[43],"losses.":[44],"Previous":[45],"studies":[46],"have":[47],"investigated":[48],"influence":[50],"parameters":[53],"on":[54,68,144],"LoraWAN":[55,133],"signal":[56,114],"strength":[57],"path":[59],"loss.":[60],"Nevertheless,":[61],"there":[62],"lack":[65],"analysis":[67],"online":[69,93],"parameter":[71],"learning":[72,94],"at":[73,98,131],"edge":[76,100],"choosing":[78],"RF":[80,107,141],"channel":[81,127],"appropriately":[82],"for":[83],"improving":[84],"SNR.":[86,119],"This":[87,120],"research":[88],"attempts":[89],"enable":[91],"conditions":[97],"facilitate":[102],"usage":[104],"suitable":[106],"channels.":[108],"Such":[109],"process":[111],"pre-emptively":[112],"avoids":[113],"degradation":[115],"improves":[117],"achieved":[122],"employing":[124],"multi-criteria":[126],"bandit":[128],"(MCCB)":[129],"algorithm":[130],"edge.":[134],"The":[135,160],"MCCB":[136,154,164],"adjusts":[137],"selection":[139],"channels":[142],"based":[143],"real-time":[145],"parameters.":[147],"We":[148],"evaluate":[149],"effectiveness":[151,161],"three":[153,163],"variants:":[155],"MCCB-Greedy,":[156],"MCCB-Bayesian,":[157],"MCCB-Exponential.":[159],"variants":[165],"evaluated":[167],"using":[168],"real-world":[169],"datasets":[171],"from":[172],"vineyard":[173],"farm":[174],"field":[175],"optimize":[177],"performance.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-19T00:32:22.182498","created_date":"2025-10-10T00:00:00"}