{"id":"https://openalex.org/W2183944526","doi":"https://doi.org/10.1109/wcsp.2015.7341138","title":"Drift detection and calibration of sensor networks","display_name":"Drift detection and calibration of sensor networks","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2183944526","doi":"https://doi.org/10.1109/wcsp.2015.7341138","mag":"2183944526"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2015.7341138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","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/A5100349198","display_name":"Zhan Li","orcid":"https://orcid.org/0000-0002-7601-4332"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhan Li","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669043","display_name":"Yuzhi Wang","orcid":"https://orcid.org/0000-0001-6962-6659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhi Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001229275","display_name":"Anqi Yang","orcid":"https://orcid.org/0000-0002-0541-5817"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023755254","display_name":"Huazhong Yang","orcid":"https://orcid.org/0000-0003-2421-353X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Yang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100349198"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.338,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.66409328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9987999796867371,"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":0.9987999796867371,"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":0.995199978351593,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7923253774642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681822180747986},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.711806058883667},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.619253396987915},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5892817974090576},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5550932884216309},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5442088842391968},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5433533787727356},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4797897934913635},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4563305079936981},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4116043746471405},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4107779860496521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24126338958740234},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21787318587303162},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.17463353276252747},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12729108333587646},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11192286014556885}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7923253774642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681822180747986},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.711806058883667},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.619253396987915},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5892817974090576},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5550932884216309},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5442088842391968},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5433533787727356},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4797897934913635},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4563305079936981},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4116043746471405},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4107779860496521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24126338958740234},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21787318587303162},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.17463353276252747},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12729108333587646},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11192286014556885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/wcsp.2015.7341138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2015.7341138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Wireless Communications &amp; Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W76441157","https://openalex.org/W262970172","https://openalex.org/W1485459259","https://openalex.org/W1494501886","https://openalex.org/W1544884065","https://openalex.org/W1600022730","https://openalex.org/W1727196424","https://openalex.org/W1805434785","https://openalex.org/W1977556410","https://openalex.org/W2007579849","https://openalex.org/W2071975411","https://openalex.org/W2074719413","https://openalex.org/W2078841894","https://openalex.org/W2096290838","https://openalex.org/W2115245044","https://openalex.org/W2125527601","https://openalex.org/W2130403046","https://openalex.org/W2131007986","https://openalex.org/W2152139894","https://openalex.org/W2161160262","https://openalex.org/W2166799378","https://openalex.org/W2167050549","https://openalex.org/W2170239483","https://openalex.org/W2185482138","https://openalex.org/W3149494651","https://openalex.org/W4285719527","https://openalex.org/W4299560810","https://openalex.org/W6609634455","https://openalex.org/W6637516906","https://openalex.org/W6682754680","https://openalex.org/W6844625791"],"related_works":["https://openalex.org/W2990081132","https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W4296984035","https://openalex.org/W2566006169","https://openalex.org/W3127121676","https://openalex.org/W2987774938","https://openalex.org/W3108206468","https://openalex.org/W3091433184","https://openalex.org/W632915154"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,51],"network":[2],"(WSN)":[3],"is":[4,61,126],"becoming":[5],"more":[6,8],"and":[7,23,65,73,125],"important":[9],"with":[10,42],"the":[11,43,48,106,120],"development":[12],"of":[13,27,45,50,68,89,122],"Internet-of-things":[14],"(IoT),":[15],"it":[16],"has":[17],"been":[18],"widely":[19],"used":[20],"to":[21,63,103,118],"sense":[22],"monitor":[24],"an":[25,59],"area":[26],"interest":[28],"in":[29,34,130],"many":[30],"scenarios.":[31],"Since":[32],"sensors":[33,69,102],"WSN":[35],"can":[36,115],"suffer":[37],"from":[38],"drift":[39,67,104],"or":[40],"errors":[41],"increase":[44],"deployment":[46],"time,":[47],"trustworthiness":[49,121],"data":[52,90,94],"will":[53],"be":[54],"affected.":[55],"In":[56],"this":[57],"paper,":[58],"algorithm":[60,114],"proposed":[62,77,113],"detect":[64],"calibrate":[66],"using":[70],"clustering":[71],"method":[72,78],"Kalman":[74],"filter.":[75],"The":[76,109],"neither":[79],"requires":[80],"a":[81,131],"densely":[82],"deployed":[83],"assumption":[84],"nor":[85],"needs":[86],"prior":[87],"knowledge":[88],"models":[91],"but":[92],"utilizing":[93],"correlation":[95],"among":[96],"sensors.":[97],"It":[98],"also":[99,127],"allows":[100],"multiple":[101],"at":[105],"same":[107],"time.":[108],"results":[110],"show":[111],"that":[112],"successfully":[116],"run":[117],"improve":[119],"collected":[123],"data,":[124],"robust":[128],"even":[129],"high-noise":[132],"scenario.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
