{"id":"https://openalex.org/W4285676435","doi":"https://doi.org/10.1145/3531437.3539713","title":"Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks","display_name":"Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks","publication_year":2022,"publication_date":"2022-07-16","ids":{"openalex":"https://openalex.org/W4285676435","doi":"https://doi.org/10.1145/3531437.3539713"},"language":"en","primary_location":{"id":"doi:10.1145/3531437.3539713","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3531437.3539713","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3531437.3539713","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3531437.3539713","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018997861","display_name":"Berken Utku Demirel","orcid":"https://orcid.org/0000-0002-9026-3693"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Berken Utku Demirel","raw_affiliation_strings":["University of California Irvine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Irvine, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443520","display_name":"Luke Chen","orcid":"https://orcid.org/0000-0001-8027-6047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luke Chen","raw_affiliation_strings":["UCI, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCI, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055814180","display_name":"Mohammad Abdullah Al Faruque","orcid":"https://orcid.org/0000-0002-5390-0497"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Al Faruque","raw_affiliation_strings":["University of California Irvine, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Irvine, United States","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"198","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7942519187927246},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6104863286018372},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5448740124702454},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5428978204727173},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4853207468986511},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4715057909488678},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4670165181159973},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46167752146720886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44988635182380676},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4437692165374756},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.4369831085205078},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.43226560950279236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42879414558410645},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21716299653053284},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11654403805732727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7942519187927246},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6104863286018372},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5448740124702454},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5428978204727173},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4853207468986511},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4715057909488678},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4670165181159973},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46167752146720886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44988635182380676},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4437692165374756},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.4369831085205078},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.43226560950279236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42879414558410645},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21716299653053284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11654403805732727},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3531437.3539713","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3531437.3539713","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3531437.3539713","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3531437.3539713","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3531437.3539713","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3531437.3539713","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285676435.pdf","grobid_xml":"https://content.openalex.org/works/W4285676435.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2605056515","https://openalex.org/W2744970336","https://openalex.org/W2963240979","https://openalex.org/W2967737346","https://openalex.org/W2980825080","https://openalex.org/W3047467872","https://openalex.org/W3092020069","https://openalex.org/W3188991715","https://openalex.org/W3201303090","https://openalex.org/W4206135956","https://openalex.org/W4206392460"],"related_works":["https://openalex.org/W1571141552","https://openalex.org/W4391636338","https://openalex.org/W4386067343","https://openalex.org/W4294250823","https://openalex.org/W2093086151","https://openalex.org/W55936454","https://openalex.org/W2095572632","https://openalex.org/W2944249426","https://openalex.org/W4294609170","https://openalex.org/W129955550"],"abstract_inverted_index":{"Providing":[0],"health":[1,51,96],"monitoring":[2,52,97],"devices":[3],"with":[4],"machine":[5],"intelligence":[6],"is":[7],"important":[8],"for":[9,40,72,139],"enabling":[10],"automatic":[11],"mobile":[12,50],"healthcare":[13],"applications.":[14],"However,":[15],"this":[16],"brings":[17],"additional":[18],"challenges":[19],"due":[20],"to":[21,46,59],"the":[22,61,93,123,135,145],"resource":[23],"scarcity":[24],"of":[25,92,116],"these":[26],"devices.":[27,53],"This":[28],"work":[29],"introduces":[30],"a":[31,79],"neural":[32],"contextual":[33,57],"bandits":[34,58],"based":[35],"dynamic":[36],"sensor":[37,64],"selection":[38],"methodology":[39,55],"high-performance":[41],"and":[42,68,75,119,149,155],"resource-efficient":[43],"body-area":[44],"networks":[45],"realize":[47],"next":[48],"generation":[49],"The":[54,84],"utilizes":[56],"select":[60],"most":[62,94],"informative":[63],"combinations":[65],"during":[66],"runtime":[67],"ignore":[69],"redundant":[70],"data":[71],"decreasing":[73,144],"transmission":[74],"computing":[76],"power":[77],"in":[78,114],"body":[80],"area":[81],"network":[82],"(BAN).":[83],"proposed":[85,105],"method":[86,106],"has":[87],"been":[88],"validated":[89],"using":[90],"one":[91],"common":[95],"applications:":[98],"cardiac":[99,140],"activity":[100],"monitoring.":[101],"Solutions":[102],"from":[103,111],"our":[104],"are":[107],"compared":[108],"against":[109],"those":[110],"related":[112],"works":[113],"terms":[115],"classification":[117],"performance":[118],"energy":[120,125,147,151],"while":[121,143],"considering":[122],"communication":[124],"consumption.":[126],"Our":[127],"final":[128],"solutions":[129],"could":[130],"reach":[131],"78.8%":[132],"AU-PRC":[133],"on":[134],"PTB-XL":[136],"ECG":[137],"dataset":[138],"abnormality":[141],"detection":[142],"overall":[146],"consumption":[148],"computational":[150],"by":[152],"3.7":[153],"\u00d7":[154],"4.3":[156],"\u00d7,":[157],"respectively.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}