{"id":"https://openalex.org/W2965175293","doi":"https://doi.org/10.1109/icess.2019.8782523","title":"A Recursive Approach to Partially Blind Calibration of a Pollution Sensor Network","display_name":"A Recursive Approach to Partially Blind Calibration of a Pollution Sensor Network","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2965175293","doi":"https://doi.org/10.1109/icess.2019.8782523","mag":"2965175293"},"language":"en","primary_location":{"id":"doi:10.1109/icess.2019.8782523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icess.2019.8782523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Embedded Software and Systems (ICESS)","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/A5084645922","display_name":"Thomas Becnel","orcid":"https://orcid.org/0000-0002-9217-4280"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Becnel","raw_affiliation_strings":["The University of Utah, Salt Lake City, Utah, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Utah, Salt Lake City, Utah, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053876837","display_name":"Tofigh Sayahi","orcid":"https://orcid.org/0000-0003-2660-3179"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tofigh Sayahi","raw_affiliation_strings":["The University of Utah, Salt Lake City, Utah, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Utah, Salt Lake City, Utah, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084403738","display_name":"Kerry E. Kelly","orcid":"https://orcid.org/0000-0002-2232-3092"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kerry Kelly","raw_affiliation_strings":["The University of Utah, Salt Lake City, Utah, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Utah, Salt Lake City, Utah, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002568331","display_name":"Pierre\u2010Emmanuel Gaillardon","orcid":"https://orcid.org/0000-0003-3634-3999"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pierre-Emmanuel Gaillardon","raw_affiliation_strings":["The University of Utah, Salt Lake City, Utah, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Utah, Salt Lake City, Utah, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":2.6439,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90827323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9958000183105469,"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":0.9958000183105469,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9901000261306763,"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":0.7096120119094849},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6987489461898804},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6063113212585449},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5906968712806702},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.523883044719696},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5043505430221558},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4732806384563446},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4187997579574585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2652456760406494},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15221011638641357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10602971911430359},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06944519281387329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096120119094849},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6987489461898804},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6063113212585449},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5906968712806702},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.523883044719696},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5043505430221558},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4732806384563446},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4187997579574585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2652456760406494},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15221011638641357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10602971911430359},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06944519281387329},{"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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icess.2019.8782523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icess.2019.8782523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Embedded Software and Systems (ICESS)","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":33,"referenced_works":["https://openalex.org/W51940559","https://openalex.org/W1984436011","https://openalex.org/W2008007000","https://openalex.org/W2018397436","https://openalex.org/W2042545035","https://openalex.org/W2045028348","https://openalex.org/W2049239418","https://openalex.org/W2069019779","https://openalex.org/W2069811854","https://openalex.org/W2102148524","https://openalex.org/W2103749408","https://openalex.org/W2109646819","https://openalex.org/W2115245044","https://openalex.org/W2123635701","https://openalex.org/W2125729055","https://openalex.org/W2152139894","https://openalex.org/W2154348116","https://openalex.org/W2155723880","https://openalex.org/W2163661874","https://openalex.org/W2166799378","https://openalex.org/W2170239483","https://openalex.org/W2330744750","https://openalex.org/W2559259492","https://openalex.org/W2614075354","https://openalex.org/W2749422632","https://openalex.org/W2807923355","https://openalex.org/W3147332716","https://openalex.org/W3149494651","https://openalex.org/W4255141467","https://openalex.org/W6668041673","https://openalex.org/W6677407863","https://openalex.org/W6678513053","https://openalex.org/W6682754680"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W2566006169","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W4229499248","https://openalex.org/W3022067003","https://openalex.org/W4378874356"],"abstract_inverted_index":{"Distributed,":[0],"low-cost":[1],"sensor":[2,37,81,98,147],"networks":[3,38],"have":[4],"become":[5],"a":[6,53,75,101,128,152,165],"widely":[7],"used":[8],"tool":[9],"to":[10,24,80,92,143,161],"aid":[11],"in":[12,43,52,155],"the":[13,30,33,59,85,90,97,111,145],"interpolation":[14],"of":[15,32,58,89,96,136],"atmospheric":[16],"measurements":[17,88,162],"between":[18],"regulatory":[19],"grade":[20],"monitoring":[21],"stations,":[22],"referred":[23],"as":[25],"Golden":[26],"Standards":[27],"(GS).":[28],"However,":[29],"quality":[31],"data":[34],"from":[35],"these":[36,71],"can":[39,48],"be":[40,49],"questioned,":[41],"especially":[42],"poorly":[44],"correlated":[45],"environments.":[46],"Sensors":[47],"individually":[50],"calibrated":[51],"laboratory":[54,130,166],"environment":[55],"before":[56],"deployment":[57],"network,":[60],"but":[61],"this":[62,108],"approach":[63,79],"is":[64,141],"unfeasible":[65],"for":[66],"large":[67],"networks.":[68],"To":[69],"overcome":[70],"shortcomings,":[72],"we":[73],"propose":[74],"novel":[76],"online,":[77],"autonomous":[78],"calibration,":[82],"by":[83],"leveraging":[84],"ground":[86],"truth":[87],"GS":[91],"calibrate":[93],"neighboring":[94],"nodes":[95],"network":[99,112],"using":[100,164],"Recursive":[102],"Least-Squares":[103],"technique.":[104],"Our":[105],"algorithm":[106,126],"percolates":[107],"calibration":[109,131],"through":[110],"such":[113],"that":[114],"every":[115],"connected":[116],"node":[117],"will":[118],"converge":[119],"towards":[120],"its":[121],"ideal":[122],"linear":[123],"calibration.":[124,148,167],"The":[125],"outperforms":[127],"pre-deployment":[129],"and":[132],"provides":[133],"good":[134],"tracking":[135],"quickly-changing":[137],"environmental":[138],"stimulus,":[139],"which":[140],"known":[142],"change":[144],"inherent":[146],"Experimental":[149],"results":[150],"show":[151],"45%":[153],"improvement":[154],"estimated":[156],"measurement":[157],"error":[158],"when":[159],"compared":[160],"corrected":[163]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}