{"id":"https://openalex.org/W3048205435","doi":"https://doi.org/10.1109/tsp.2021.3077302","title":"Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model","display_name":"Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3048205435","doi":"https://doi.org/10.1109/tsp.2021.3077302","mag":"3048205435"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2021.3077302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3077302","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.03871","any_repository_has_fulltext":true},"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":["Department of Electrical Engineering and Computer Science, Lehigh University, Bethlehem, PA, USA","Lehigh University,"],"raw_orcid":"https://orcid.org/0000-0003-1876-9320","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Lehigh University,","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":["Department of Electrical Engineering and Computer Science, Lehigh University, Bethlehem, PA, USA","Lehigh University,"],"raw_orcid":"https://orcid.org/0000-0002-1024-6771","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Lehigh University,","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, Adelphi, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-9564-3812","affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, 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":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.006553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"69","issue":null,"first_page":"4710","last_page":"4723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.998199999332428,"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":0.998199999332428,"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":0.9948999881744385,"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":0.9794999957084656,"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/clique","display_name":"Clique","score":0.7746537923812866},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.7388599514961243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574907660484314},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5003395080566406},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.4912793040275574},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.47953319549560547},{"id":"https://openalex.org/keywords/sufficient-statistic","display_name":"Sufficient statistic","score":0.4649805724620819},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.45964550971984863},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4534750282764435},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4294296205043793},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40257444977760315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3986208736896515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37456345558166504},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3609955310821533},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24936208128929138},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22899261116981506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11347678303718567}],"concepts":[{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.7746537923812866},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.7388599514961243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574907660484314},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5003395080566406},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.4912793040275574},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.47953319549560547},{"id":"https://openalex.org/C178197554","wikidata":"https://www.wikidata.org/wiki/Q1099110","display_name":"Sufficient statistic","level":2,"score":0.4649805724620819},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.45964550971984863},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4534750282764435},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4294296205043793},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40257444977760315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3986208736896515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37456345558166504},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3609955310821533},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24936208128929138},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22899261116981506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11347678303718567},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tsp.2021.3077302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3077302","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2008.03871","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.03871","pdf_url":"https://arxiv.org/pdf/2008.03871","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3048205435","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2008.03871.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.03871","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.03871","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.03871","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.03871","pdf_url":"https://arxiv.org/pdf/2008.03871","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G1699582372","display_name":null,"funder_award_id":"W911NF-17-1-0331","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8466051932","display_name":null,"funder_award_id":"ECCS-1744129","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320308117","display_name":"Pennsylvania Department of Community and Economic Development","ror":"https://ror.org/02c1vmy63"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W966080908","https://openalex.org/W1533983758","https://openalex.org/W1558863764","https://openalex.org/W1584954916","https://openalex.org/W1590183771","https://openalex.org/W1932073528","https://openalex.org/W1965555277","https://openalex.org/W1971084072","https://openalex.org/W1977951010","https://openalex.org/W1981904416","https://openalex.org/W2001764649","https://openalex.org/W2004094275","https://openalex.org/W2008706653","https://openalex.org/W2012575779","https://openalex.org/W2018319586","https://openalex.org/W2027237053","https://openalex.org/W2045067839","https://openalex.org/W2051073165","https://openalex.org/W2083578528","https://openalex.org/W2101453243","https://openalex.org/W2103227205","https://openalex.org/W2104248329","https://openalex.org/W2109907994","https://openalex.org/W2112072995","https://openalex.org/W2121219412","https://openalex.org/W2136277139","https://openalex.org/W2149259182","https://openalex.org/W2157005085","https://openalex.org/W2157637845","https://openalex.org/W2166426063","https://openalex.org/W2166794017","https://openalex.org/W2168452204","https://openalex.org/W2169342250","https://openalex.org/W2268537548","https://openalex.org/W2550878879","https://openalex.org/W2568515015","https://openalex.org/W2578727492","https://openalex.org/W2973203304","https://openalex.org/W3032930637","https://openalex.org/W3047400685","https://openalex.org/W4388323202","https://openalex.org/W6635054738","https://openalex.org/W6676181923","https://openalex.org/W6684415991"],"related_works":["https://openalex.org/W3157245323","https://openalex.org/W2578727492","https://openalex.org/W2041185818","https://openalex.org/W2157437323","https://openalex.org/W2746643670","https://openalex.org/W3127221797","https://openalex.org/W2942550645","https://openalex.org/W1975023024","https://openalex.org/W2113648148","https://openalex.org/W2538732301","https://openalex.org/W1561833014","https://openalex.org/W2798657392","https://openalex.org/W2822451771","https://openalex.org/W2963497715","https://openalex.org/W3197871027","https://openalex.org/W3178606768","https://openalex.org/W2520512868","https://openalex.org/W2059797311","https://openalex.org/W2096299529","https://openalex.org/W2990540123"],"abstract_inverted_index":{"A":[0,160],"quickest":[1],"change":[2,24,147,181,211],"detection":[3,148],"problem":[4,38],"is":[5,25,115,136,140,173,212,227],"considered":[6],"in":[7,67],"a":[8,28,72,94,195],"sensor":[9,80,205],"network":[10],"with":[11],"observations":[12,206],"whose":[13],"statistical":[14],"dependency":[15],"structure":[16,226],"across":[17],"the":[18,23,46,55,68,78,99,120,124,145,154,158,164,177,180,184,190,201,204,210,218,221,224,238,244],"sensors":[19],"before":[20,207],"and":[21,129,175,208,242],"after":[22,209],"described":[26],"by":[27,170],"decomposable":[29],"graphical":[30],"model":[31],"(DGM).":[32],"Distributed":[33],"computation":[34],"methods":[35],"for":[36,176],"this":[37],"are":[39,42,91,127],"proposed":[40,116],"that":[41,71],"capable":[43],"of":[44,119,167,192,203],"producing":[45],"optimum":[47,100],"centralized":[48,101],"test":[49,102],"statistic.":[50,103],"The":[51,88],"DGM":[52],"leads":[53],"to":[54,58,65,93,97,106,123,143,220],"proper":[56],"way":[57],"collect":[59],"nodes":[60],"into":[61],"local":[62],"groups":[63],"equivalent":[64],"cliques":[66,193],"graph,":[69],"such":[70],"clique":[73,79,89,121],"statistic":[74],"which":[75],"summarizes":[76],"all":[77,153,157],"data":[81],"can":[82],"be":[83],"computed":[84],"within":[85],"each":[86,230],"clique.":[87],"statistics":[90,122,155],"transmitted":[92],"decision":[95],"maker":[96],"produce":[98],"In":[104],"order":[105],"further":[107],"improve":[108],"communication":[109],"efficiency,":[110],"an":[111],"ordered":[112,128,171,239],"transmission":[113,240],"approach":[114,219,241],"where":[117,179],"transmissions":[118,168,172],"fusion":[125],"center":[126],"then":[130],"adaptively":[131],"halted":[132],"when":[133,223],"sufficient":[134],"information":[135],"accumulated.":[137],"This":[138],"procedure":[139],"always":[141],"guaranteed":[142],"provide":[144],"optimal":[146],"performance,":[149],"despite":[150],"not":[151],"transmitting":[152],"from":[156],"cliques.":[159],"lower":[161,185],"bound":[162,186],"on":[163],"average":[165],"number":[166,191],"saved":[169],"provided":[174,194],"case":[178,222],"seldom":[182],"occurs":[183],"approaches":[187],"approximately":[188],"half":[189],"well":[196],"behaved":[197],"distance":[198],"measure":[199],"between":[200],"distributions":[202],"sufficiently":[213],"large.":[214],"We":[215],"also":[216],"extend":[217],"graph":[225],"different":[228],"under":[229],"hypothesis.":[231],"Numerical":[232],"results":[233],"show":[234],"significant":[235],"savings":[236],"using":[237],"validate":[243],"theoretical":[245],"findings.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
