{"id":"https://openalex.org/W3047400685","doi":"https://doi.org/10.1109/spawc48557.2020.9154270","title":"Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions","display_name":"Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3047400685","doi":"https://doi.org/10.1109/spawc48557.2020.9154270","mag":"3047400685"},"language":"en","primary_location":{"id":"doi:10.1109/spawc48557.2020.9154270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc48557.2020.9154270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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/A5100769177","display_name":"Yi-Cheng Chen","orcid":"https://orcid.org/0000-0003-1876-9320"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yicheng Chen","raw_affiliation_strings":["Lehigh University, Bethlehem, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042577942","display_name":"Rick S. Blum","orcid":"https://orcid.org/0000-0002-1024-6771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rick S. Blum","raw_affiliation_strings":["Lehigh University, Bethlehem, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053858045","display_name":"Brian M. Sadler","orcid":"https://orcid.org/0000-0002-9564-3812"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian M. Sadler","raw_affiliation_strings":["Army Research Laboratory, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Research Laboratory, MD, USA","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100769177"],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":0.6522,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75314506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9969000220298767,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9509000182151794,"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/fusion-center","display_name":"Fusion center","score":0.8982630372047424},{"id":"https://openalex.org/keywords/cusum","display_name":"CUSUM","score":0.8859157562255859},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.779883086681366},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7371280193328857},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.7259930372238159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6167938113212585},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6115247011184692},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5609632730484009},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5295211672782898},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5240880846977234},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.49864840507507324},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4866386353969574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45453909039497375},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4290018081665039},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42410868406295776},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.4185390770435333},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33983170986175537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27831196784973145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19515648484230042},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14573153853416443},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12429434061050415},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.11309725046157837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11131078004837036},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09516903758049011}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.8982630372047424},{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.8859157562255859},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.779883086681366},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7371280193328857},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7259930372238159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6167938113212585},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6115247011184692},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5609632730484009},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5295211672782898},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5240880846977234},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.49864840507507324},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4866386353969574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45453909039497375},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4290018081665039},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42410868406295776},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.4185390770435333},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33983170986175537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27831196784973145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19515648484230042},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14573153853416443},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12429434061050415},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.11309725046157837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11131078004837036},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09516903758049011},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc48557.2020.9154270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc48557.2020.9154270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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":15,"referenced_works":["https://openalex.org/W1533983758","https://openalex.org/W1932073528","https://openalex.org/W1971084072","https://openalex.org/W1981904416","https://openalex.org/W2027237053","https://openalex.org/W2097773828","https://openalex.org/W2101453243","https://openalex.org/W2104248329","https://openalex.org/W2112072995","https://openalex.org/W2121219412","https://openalex.org/W2157637845","https://openalex.org/W2166426063","https://openalex.org/W2168452204","https://openalex.org/W2920785811","https://openalex.org/W2973203304"],"related_works":["https://openalex.org/W3015281215","https://openalex.org/W1492793456","https://openalex.org/W4225744836","https://openalex.org/W2765794526","https://openalex.org/W2962869687","https://openalex.org/W3158728816","https://openalex.org/W2517257870","https://openalex.org/W2006349683","https://openalex.org/W2594469613","https://openalex.org/W2062065486"],"abstract_inverted_index":{"Quickest":[0],"change":[1,51,138],"detection":[2],"in":[3,34,52,120,145],"a":[4,13,27,60,73,118],"sensor":[5,11,113],"network":[6],"is":[7,47,85,142],"considered":[8],"where":[9,76,136],"each":[10],"observes":[12],"sequence":[14],"of":[15,38,122],"random":[16],"variables":[17],"and":[18,71,80,124],"transmits":[19],"its":[20],"local":[21],"information":[22,84],"on":[23],"the":[24,36,39,50,88,94,99,104,134,137],"observations":[25,40,128],"to":[26,48,59,103],"fusion":[28,89],"center.":[29,90],"At":[30],"an":[31],"unknown":[32],"point":[33],"time,":[35],"distribution":[37,53],"at":[41,87],"all":[42],"sensors":[43],"changes.":[44],"The":[45],"objective":[46],"detect":[49],"as":[54,56],"soon":[55],"possible,":[57],"subject":[58],"false":[61],"alarm":[62],"constraint.":[63],"We":[64,91],"consider":[65],"minimax":[66],"formulations":[67],"for":[68,117,133],"this":[69],"problem":[70],"propose":[72],"new":[74],"approach":[75,96],"transmissions":[77],"are":[78],"ordered":[79],"halted":[81],"when":[82],"sufficient":[83],"accumulated":[86],"show":[92,129],"that":[93],"proposed":[95],"can":[97],"achieve":[98],"optimal":[100],"performance":[101],"equivalent":[102],"centralized":[105],"cumulative":[106],"sum":[107],"(CUSUM)":[108],"algorithm":[109],"while":[110],"requiring":[111],"fewer":[112],"transmissions.":[114],"Numerical":[115],"results":[116],"shift":[119],"mean":[121],"independent":[123],"identically":[125],"distributed":[126],"Gaussian":[127],"significant":[130],"communication":[131],"savings":[132],"case":[135],"seldom":[139],"occurs":[140],"which":[141],"frequently":[143],"true":[144],"many":[146],"important":[147],"applications.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
