{"id":"https://openalex.org/W3196377873","doi":"https://doi.org/10.1109/isit45174.2021.9517884","title":"A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks","display_name":"A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3196377873","doi":"https://doi.org/10.1109/isit45174.2021.9517884","mag":"3196377873"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9517884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","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/A5115605028","display_name":"Zhongchang Sun","orcid":"https://orcid.org/0000-0002-7021-2231"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhongchang Sun","raw_affiliation_strings":["University at Buffalo, the State University of New York,Buffalo,NY,USA","University at Buffalo, the State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, the State University of New York,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"University at Buffalo, the State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076508464","display_name":"Qunwei Li","orcid":"https://orcid.org/0000-0001-8211-8122"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]},{"id":"https://openalex.org/I4210100390","display_name":"Financial Research (Hungary)","ror":"https://ror.org/00jf79q69","country_code":"HU","type":"company","lineage":["https://openalex.org/I4210100390"]}],"countries":["CN","HU"],"is_corresponding":false,"raw_author_name":"Qunwei Li","raw_affiliation_strings":["Ant Financial,China","Ant Financial, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial,China","institution_ids":["https://openalex.org/I4210090985","https://openalex.org/I4210100390"]},{"raw_affiliation_string":"Ant Financial, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101944951","display_name":"Ruizhi Zhang","orcid":"https://orcid.org/0009-0000-8325-111X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruizhi Zhang","raw_affiliation_strings":["University of Nebraska-Lincoln,Lincoln,NE,USA","University of Nebraska-Lincoln, Lincoln, NE, USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Lincoln,NE,USA","institution_ids":["https://openalex.org/I114395901"]},{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012545205","display_name":"Shaofeng Zou","orcid":"https://orcid.org/0000-0002-2821-6941"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaofeng Zou","raw_affiliation_strings":["University at Buffalo, the State University of New York,Buffalo,NY,USA","University at Buffalo, the State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, the State University of New York,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"University at Buffalo, the State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115605028"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09466251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9873999953269958,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/fusion-center","display_name":"Fusion center","score":0.7880858778953552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362334132194519},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.699623703956604},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6827342510223389},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6692485213279724},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6082073450088501},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5646930932998657},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5616604685783386},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5309922695159912},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.4305071532726288},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32549604773521423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1982203722000122},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06993645429611206}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.7880858778953552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362334132194519},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.699623703956604},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6827342510223389},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6692485213279724},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6082073450088501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5646930932998657},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5616604685783386},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5309922695159912},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.4305071532726288},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32549604773521423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1982203722000122},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06993645429611206},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit45174.2021.9517884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3872503478","display_name":null,"funder_award_id":"CCF-1948165","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1585377202","https://openalex.org/W1971084072","https://openalex.org/W1977843657","https://openalex.org/W1981904416","https://openalex.org/W1999506648","https://openalex.org/W2039850839","https://openalex.org/W2053113718","https://openalex.org/W2110868125","https://openalex.org/W2112072995","https://openalex.org/W2113642685","https://openalex.org/W2122265331","https://openalex.org/W2128005148","https://openalex.org/W2129242823","https://openalex.org/W2142851111","https://openalex.org/W2268537548","https://openalex.org/W2478708596","https://openalex.org/W2761707930","https://openalex.org/W2964085620","https://openalex.org/W2980588138","https://openalex.org/W3015281215","https://openalex.org/W3098156977","https://openalex.org/W3152994159","https://openalex.org/W4239709767","https://openalex.org/W6635054738","https://openalex.org/W6794381843"],"related_works":["https://openalex.org/W1980651798","https://openalex.org/W2015932684","https://openalex.org/W2155582161","https://openalex.org/W2910753852","https://openalex.org/W2140760796","https://openalex.org/W1983393909","https://openalex.org/W2116311747","https://openalex.org/W1975446248","https://openalex.org/W2140426588","https://openalex.org/W2526746481"],"abstract_inverted_index":{"The":[0,13,47,63],"problem":[1],"of":[2,44,125],"quickest":[3],"change":[4,53],"detection":[5],"in":[6,35],"anonymous":[7,64],"heterogeneous":[8],"sensor":[9,82],"networks":[10],"is":[11,49,66,104,118,130],"studied.":[12],"sensors":[14],"are":[15],"clustered":[16],"into":[17],"<tex>$K$</tex>":[18],"groups,":[19],"and":[20,38,87,120],"different":[21,24],"groups":[22],"follow":[23],"data":[25,41],"generating":[26,42],"distributions.":[27],"At":[28],"some":[29],"unknown":[30],"time,":[31],"an":[32,97],"event":[33],"occurs":[34],"the":[36,40,45,52,73],"network":[37],"changes":[39],"distribution":[43],"sensors.":[46],"goal":[48],"to":[50,59],"detect":[51],"as":[54,56],"quickly":[55],"possible,":[57],"subject":[58],"false":[60,127],"alarm":[61,128],"constraints.":[62],"setting":[65],"studied,":[67],"where":[68],"at":[69],"each":[70,83],"time":[71],"step,":[72],"fusion":[74],"center":[75],"receives":[76],"unordered":[77],"samples":[78],"without":[79],"knowing":[80],"which":[81,102],"sample":[84],"comes":[85],"from,":[86],"thus":[88],"does":[89],"not":[90,105],"know":[91],"its":[92,126],"exact":[93],"distribution.":[94],"In":[95,111],"[1],":[96],"optimal":[98],"algorithm":[99],"was":[100],"provided,":[101],"however":[103],"computational":[106],"efficient":[107,116],"for":[108],"large":[109],"networks.":[110],"this":[112],"paper,":[113],"a":[114,121],"computationally":[115],"test":[117],"proposed":[119],"novel":[122],"theoretical":[123],"characterization":[124],"rate":[129],"further":[131],"developed.":[132]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
