{"id":"https://openalex.org/W4416148812","doi":"https://doi.org/10.1109/jiot.2025.3631946","title":"Cost-Efficient Sensing With Self-Improving Soft Sensor Based on Predictive Uncertainty Estimation in IoT Environments","display_name":"Cost-Efficient Sensing With Self-Improving Soft Sensor Based on Predictive Uncertainty Estimation in IoT Environments","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416148812","doi":"https://doi.org/10.1109/jiot.2025.3631946"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3631946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3631946","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5046617838","display_name":"Hyun-Suk Lee","orcid":"https://orcid.org/0000-0001-5885-1711"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyun-Suk Lee","raw_affiliation_strings":["Department of Artificial Intelligence and Robotics, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5885-1711","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Robotics, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080456346","display_name":"Seong-Ho Park","orcid":"https://orcid.org/0000-0002-0504-2539"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Ho Park","raw_affiliation_strings":["Department of Artificial Intelligence and Robotics, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Robotics, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067149765","display_name":"S. D. Kim","orcid":"https://orcid.org/0009-0001-2943-5636"},"institutions":[{"id":"https://openalex.org/I4210096735","display_name":"Korea Institute of Robot and Convergence","ror":"https://ror.org/00v019t60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210096735"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Yeon Kim","raw_affiliation_strings":["Department of IT Convergence, ICT Polytech Institute of Korea, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-2943-5636","affiliations":[{"raw_affiliation_string":"Department of IT Convergence, ICT Polytech Institute of Korea, Gwangju, South Korea","institution_ids":["https://openalex.org/I4210096735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046617838"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37658676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"2","first_page":"3055","last_page":"3068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.18469999730587006,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.18469999730587006,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.07460000365972519,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.0617000013589859,"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/scheduling","display_name":"Scheduling (production processes)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.5687000155448914},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.49799999594688416},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.3952000141143799},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.391400009393692},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.38029998540878296},{"id":"https://openalex.org/keywords/measurement-uncertainty","display_name":"Measurement uncertainty","score":0.3677000105381012},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.35199999809265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922000288963318},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.5687000155448914},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.54339998960495},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.49799999594688416},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36250001192092896},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C94361409","wikidata":"https://www.wikidata.org/wiki/Q7882500","display_name":"Uncertainty reduction theory","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.2773999869823456},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2709999978542328}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3631946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3631946","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5841234549","display_name":null,"funder_award_id":"IITP-2025-RS-2021-II211816","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7453090096","display_name":null,"funder_award_id":"RS-2022-00154678","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W64738347","https://openalex.org/W1932198206","https://openalex.org/W1990126158","https://openalex.org/W2000651380","https://openalex.org/W2041755017","https://openalex.org/W2085862958","https://openalex.org/W2087294514","https://openalex.org/W2118023920","https://openalex.org/W2184903086","https://openalex.org/W2606776959","https://openalex.org/W2790607499","https://openalex.org/W2935033494","https://openalex.org/W2963147303","https://openalex.org/W2987885627","https://openalex.org/W3093656051","https://openalex.org/W3102100346","https://openalex.org/W3123899295","https://openalex.org/W3129185850","https://openalex.org/W3160006083","https://openalex.org/W3171398265","https://openalex.org/W3196282652","https://openalex.org/W3203814031","https://openalex.org/W4290700404","https://openalex.org/W4382998922","https://openalex.org/W4392173735","https://openalex.org/W4394838671","https://openalex.org/W4405753655","https://openalex.org/W4407127368"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"soft":[1,62,102,169,191],"sensors":[2,36],"have":[3],"been":[4],"widely":[5],"adopted":[6],"as":[7,134],"alternatives":[8],"to":[9,146],"physical":[10],"sensors.":[11,149],"However,":[12],"their":[13,22],"generalization":[14],"performance":[15,111],"often":[16],"degrades":[17],"under":[18,67],"distribution":[19],"shifts,":[20],"and":[21,63,108,194,203],"prediction":[23],"errors":[24],"are":[25,43],"not":[26,163],"directly":[27],"observable":[28],"without":[29],"ground-truth":[30,115],"measurements.":[31,116],"As":[32],"a":[33,68,100,120,135],"result,":[34],"cost-expensive":[35,64,148],"that":[37,83,104,161,182],"consume":[38],"significant":[39],"energy":[40],"or":[41],"resources":[42],"still":[44],"required":[45],"in":[46,57,199],"practice.":[47],"To":[48,93],"address":[49],"this":[50,129,152],"challenge,":[51],"we":[52,98],"study":[53],"cost-efficient":[54,121],"sensing":[55,80,122],"scheduling":[56,81,123,155],"systems":[58],"equipped":[59],"with":[60],"both":[61,200],"sensors,":[65],"operating":[66],"limited":[69,174],"budget":[70],"for":[71,137],"activating":[72],"the":[73,154,173,183],"latter.":[74],"We":[75,117],"first":[76],"develop":[77],"an":[78,89],"optimal":[79],"algorithm":[82,156],"minimizes":[84],"measurement":[85,139],"error":[86,165,201],"while":[87],"satisfying":[88],"average":[90],"cost":[91],"constraint.":[92],"enable":[94],"its":[95,110],"practical":[96],"deployment,":[97],"propose":[99],"self-improving":[101],"sensor":[103,170,192],"estimates":[105],"predictive":[106,131,188],"uncertainty":[107,132],"enhances":[109],"using":[112],"selectively":[113,157],"collected":[114],"then":[118],"design":[119],"framework":[124,185],"by":[125],"integrating":[126],"them.":[127],"In":[128],"framework,":[130],"serves":[133],"proxy":[136],"unknown":[138],"errors,":[140],"which":[141],"provides":[142],"guidance":[143],"on":[144,151,178],"when":[145],"activate":[147],"Based":[150],"guidance,":[153],"acquires":[158],"informative":[159],"measurements":[160],"facilitate":[162],"only":[164],"reduction":[166,202],"but":[167],"also":[168],"improvement,":[171],"given":[172],"budget.":[175],"Extensive":[176],"simulations":[177],"real-world":[179],"datasets":[180],"demonstrate":[181],"proposed":[184],"effectively":[186],"quantifies":[187],"uncertainty,":[189],"improves":[190],"accuracy,":[193],"significantly":[195],"outperforms":[196],"baseline":[197],"algorithms":[198],"data":[204],"efficiency.":[205]},"counts_by_year":[],"updated_date":"2026-01-14T23:40:02.550235","created_date":"2025-11-12T00:00:00"}