{"id":"https://openalex.org/W3196293408","doi":"https://doi.org/10.1109/isit45174.2021.9517771","title":"Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks","display_name":"Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3196293408","doi":"https://doi.org/10.1109/isit45174.2021.9517771","mag":"3196293408"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9517771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517771","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":["Electrical Enginnering University at Buffalo, the State University of New York,Buffalo,NY,USA","Electrical Enginnering University at Buffalo, the State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Enginnering University at Buffalo, the State University of New York,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Electrical Enginnering University at Buffalo, the State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"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":["Electrical Enginnering University at Buffalo, the State University of New York,Buffalo,NY,USA","Electrical Enginnering University at Buffalo, the State University of New York, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Enginnering University at Buffalo, the State University of New York,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Electrical Enginnering University at Buffalo, the State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115605028"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.1784,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68713022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9976000189781189,"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":0.9914000034332275,"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/cusum","display_name":"CUSUM","score":0.9385727643966675},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7833072543144226},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.7254431247711182},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.6238194108009338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6009796857833862},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.5491788387298584},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4653307795524597},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.457890123128891},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4455142319202423},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4362204670906067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41320428252220154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28680261969566345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23252791166305542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11801508069038391}],"concepts":[{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.9385727643966675},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7833072543144226},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7254431247711182},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.6238194108009338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6009796857833862},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.5491788387298584},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4653307795524597},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.457890123128891},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4455142319202423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4362204670906067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41320428252220154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28680261969566345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23252791166305542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11801508069038391},{"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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit45174.2021.9517771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517771","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/G6633306723","display_name":null,"funder_award_id":"CCF-1948165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1533983758","https://openalex.org/W1585377202","https://openalex.org/W1971084072","https://openalex.org/W1977843657","https://openalex.org/W1981904416","https://openalex.org/W2018319586","https://openalex.org/W2039850839","https://openalex.org/W2053113718","https://openalex.org/W2110868125","https://openalex.org/W2112072995","https://openalex.org/W2122265331","https://openalex.org/W2129242823","https://openalex.org/W2142851111","https://openalex.org/W2268537548","https://openalex.org/W2761707930","https://openalex.org/W2964085620","https://openalex.org/W2980588138","https://openalex.org/W3015281215","https://openalex.org/W3024133375","https://openalex.org/W3080630405","https://openalex.org/W3098156977","https://openalex.org/W3152994159","https://openalex.org/W3196293408","https://openalex.org/W4239709767","https://openalex.org/W4247848308","https://openalex.org/W6635054738","https://openalex.org/W6782342080","https://openalex.org/W6794381843"],"related_works":["https://openalex.org/W3015281215","https://openalex.org/W2910753852","https://openalex.org/W2284610461","https://openalex.org/W2950960082","https://openalex.org/W1494109045","https://openalex.org/W2048959914","https://openalex.org/W2100538939","https://openalex.org/W1980651798","https://openalex.org/W2127322318","https://openalex.org/W2015932684"],"abstract_inverted_index":{"The":[0,14,52,68,128],"problem":[1,129],"of":[2,49],"quickest":[3],"dynamic":[4,135],"anomaly":[5,38,58,107,143],"detection":[6],"in":[7,40],"anonymous":[8,69],"heterogeneous":[9,18],"sensor":[10,81,103,139],"networks":[11],"is":[12,54,71,99,118,121,130,154],"studied.":[13],"<tex":[15,24],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[16,25],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$n$</tex>":[17],"sensors":[19],"can":[20],"be":[21,125],"divided":[22],"into":[23],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$K$</tex>":[26],"types":[27],"with":[28,111,145],"different":[29],"data":[30,46],"generating":[31,47],"distributions.":[32],"At":[33],"some":[34],"unknown":[35],"time,":[36],"an":[37],"emerges":[39],"the":[41,45,50,57,74,96,102,106,138,142,163],"network":[42],"and":[43,87,120],"changes":[44,144],"distribution":[48],"sensors.":[51],"goal":[53],"to":[55,64,124,133,161],"detect":[56],"as":[59,61],"quickly":[60],"possible,":[62],"subject":[63],"false":[65],"alarm":[66],"constraints.":[67],"setting":[70,98,136],"studied,":[72],"where":[73,101,137],"fusion":[75],"center":[76],"does":[77,89,108],"not":[78,90,109],"know":[79,91],"which":[80],"that":[82],"each":[83],"sample":[84],"comes":[85],"from,":[86],"thus":[88],"its":[92],"exact":[93],"distribution.":[94],"Firstly,":[95],"static":[97],"investigated":[100],"affected":[104,140],"by":[105,141],"change":[110],"time.":[112,146],"A":[113],"generalized":[114],"mixture":[115,151],"CuSum":[116,152],"algorithm":[117,153],"constructed":[119],"further":[122],"shown":[123],"asymptotically":[126,148],"optimal.":[127],"then":[131],"extended":[132],"a":[134],"An":[147],"optimal":[149],"weighted":[150],"proposed.":[155],"Numerical":[156],"results":[157],"are":[158],"also":[159],"provided":[160],"validate":[162],"theoretical":[164],"results.":[165]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}