{"id":"https://openalex.org/W2790060863","doi":"https://doi.org/10.1109/jiot.2018.2810825","title":"Distributed Quickest Detection in Sensor Networks via Two-Layer Large Deviation Analysis","display_name":"Distributed Quickest Detection in Sensor Networks via Two-Layer Large Deviation Analysis","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2790060863","doi":"https://doi.org/10.1109/jiot.2018.2810825","mag":"2790060863"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2018.2810825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2018.2810825","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/A5100446374","display_name":"Di Li","orcid":"https://orcid.org/0000-0003-2098-787X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA","R&D Department, Unicore Communications Technology Corporation, Fremont, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2098-787X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"R&D Department, Unicore Communications Technology Corporation, Fremont, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077268766","display_name":"Soummya Kar","orcid":"https://orcid.org/0000-0002-8060-5581"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soummya Kar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8060-5581","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2608-775X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9477,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77191929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"5","issue":"2","first_page":"930","last_page":"942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9983999729156494,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9771000146865845,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6552730798721313},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.6533554792404175},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6137222647666931},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5804124474525452},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5277923941612244},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5272238254547119},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.4998588562011719},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.49052733182907104},{"id":"https://openalex.org/keywords/gossip","display_name":"Gossip","score":0.41735750436782837},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4106517434120178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2700175642967224},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.20808744430541992},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1666613519191742},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.14634573459625244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12587061524391174},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1045483648777008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552730798721313},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.6533554792404175},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6137222647666931},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5804124474525452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5277923941612244},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5272238254547119},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.4998588562011719},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.49052733182907104},{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.41735750436782837},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4106517434120178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2700175642967224},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.20808744430541992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1666613519191742},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.14634573459625244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12587061524391174},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1045483648777008},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2018.2810825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2018.2810825","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/G1118726341","display_name":null,"funder_award_id":"ECCS-1659025","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2245627796","display_name":null,"funder_award_id":"DMS-1622433","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2878590505","display_name":null,"funder_award_id":"CNS-1343155","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4530482548","display_name":null,"funder_award_id":"CCF-1513936","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4740607499","display_name":null,"funder_award_id":"AST-1547436","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7106976082","display_name":null,"funder_award_id":"NSFC-61629101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":56,"referenced_works":["https://openalex.org/W618810304","https://openalex.org/W966080908","https://openalex.org/W1592752184","https://openalex.org/W1966992934","https://openalex.org/W1967128863","https://openalex.org/W1969249400","https://openalex.org/W1969747160","https://openalex.org/W1970411742","https://openalex.org/W1974691449","https://openalex.org/W1980151944","https://openalex.org/W1982396721","https://openalex.org/W2003346154","https://openalex.org/W2004094275","https://openalex.org/W2020633490","https://openalex.org/W2027237053","https://openalex.org/W2029080014","https://openalex.org/W2035879260","https://openalex.org/W2038514455","https://openalex.org/W2042664989","https://openalex.org/W2048959914","https://openalex.org/W2049629393","https://openalex.org/W2065577175","https://openalex.org/W2070539966","https://openalex.org/W2087751744","https://openalex.org/W2099282834","https://openalex.org/W2102395039","https://openalex.org/W2103746030","https://openalex.org/W2104248329","https://openalex.org/W2110868125","https://openalex.org/W2114557042","https://openalex.org/W2114847643","https://openalex.org/W2117905067","https://openalex.org/W2121219412","https://openalex.org/W2125309241","https://openalex.org/W2126428682","https://openalex.org/W2127484045","https://openalex.org/W2127892212","https://openalex.org/W2127949150","https://openalex.org/W2131389289","https://openalex.org/W2142851111","https://openalex.org/W2156787055","https://openalex.org/W2156806519","https://openalex.org/W2162379405","https://openalex.org/W2255702686","https://openalex.org/W2395240417","https://openalex.org/W2491514954","https://openalex.org/W2545526665","https://openalex.org/W2963620024","https://openalex.org/W2964155949","https://openalex.org/W2964162662","https://openalex.org/W3009870883","https://openalex.org/W3026026050","https://openalex.org/W3102683362","https://openalex.org/W3104202225","https://openalex.org/W4255993746","https://openalex.org/W4301258660"],"related_works":["https://openalex.org/W1980651798","https://openalex.org/W2015932684","https://openalex.org/W2155582161","https://openalex.org/W2140760796","https://openalex.org/W1975446248","https://openalex.org/W2140426588","https://openalex.org/W1983393909","https://openalex.org/W2116311747","https://openalex.org/W2526746481","https://openalex.org/W1992932675"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,13,20,34,61,64,112],"distributed":[3,37,105,169],"Bayesian":[4],"quickest":[5],"detection":[6,31,96],"algorithm":[7,170],"for":[8,154],"sensor":[9,26],"networks,":[10],"based":[11],"on":[12],"random":[14,45],"gossip":[15],"inter-sensor":[16,46],"communication":[17,145],"structure.":[18],"Without":[19],"control":[21],"or":[22],"fusion":[23],"center,":[24],"each":[25],"executes":[27],"its":[28,41],"local":[29],"change":[30],"procedure":[32],"in":[33,57],"parallel":[35],"and":[36,92,151],"fashion,":[38],"interacting":[39],"with":[40],"neighboring":[42],"sensors":[43],"via":[44],"communications":[47],"to":[48,71,138,174],"propagate":[49],"information.":[50],"By":[51],"modeling":[52],"the":[53,58,73,76,84,87,93,99,104,119,141,155,165,168,177],"information":[54,107],"propagation":[55],"dynamics":[56],"network":[59],"as":[60,111,140],"Markov":[62],"process,":[63],"two-layer":[65],"large":[66,100,148],"deviation":[67,101,149],"analysis":[68,81,117],"is":[69,109],"presented":[70],"analyze":[72],"performance":[74,166],"of":[75,89,144,167,176],"proposed":[77],"algorithm.":[78],"The":[79,115,147],"first-layer":[80],"shows":[82,131],"that":[83,121,132,164,175],"relation":[85],"between":[86],"probability":[88,120,134],"false":[90],"alarm":[91],"conditional":[94],"averaged":[95,142],"delay":[97],"satisfies":[98],"principle,":[102],"where":[103],"Kullback-Leibler":[106],"number":[108],"established":[110],"crucial":[113],"factor.":[114],"second-layer":[116],"studies":[118],"not":[122],"all":[123],"observations":[124],"are":[125,158],"available":[126],"at":[127],"one":[128],"sensor.":[129],"It":[130],"this":[133],"decays":[135],"exponentially":[136,172],"fast":[137,173],"zero":[139],"rounds":[143],"increases.":[146],"upper":[150],"lower":[152],"bounds":[153],"converge":[156],"rate":[157],"then":[159],"derived.":[160],"Finally,":[161],"we":[162],"show":[163],"converges":[171],"centralized":[178],"optimal":[179],"one.one.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
