{"id":"https://openalex.org/W1786427715","doi":"https://doi.org/10.1109/infcom.2005.1498320","title":"Localized fault-tolerant event boundary detection in sensor networks","display_name":"Localized fault-tolerant event boundary detection in sensor networks","publication_year":2005,"publication_date":"2005-08-24","ids":{"openalex":"https://openalex.org/W1786427715","doi":"https://doi.org/10.1109/infcom.2005.1498320","mag":"1786427715"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2005.1498320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2005.1498320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111817049","display_name":"Min Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Ding","raw_affiliation_strings":["Computer Science, George Washington University, Washington D.C., DC, USA","[Computer Science, George Washington University, DC, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, George Washington University, Washington D.C., DC, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"[Computer Science, George Washington University, DC, USA]","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050077196","display_name":"Dechang Chen","orcid":"https://orcid.org/0000-0001-5787-3441"},"institutions":[{"id":"https://openalex.org/I148314036","display_name":"Uniformed Services University of the Health Sciences","ror":"https://ror.org/04r3kq386","country_code":"US","type":"education","lineage":["https://openalex.org/I148314036"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dechang Chen","raw_affiliation_strings":["Uniformed Services University of Health Sciences, Bethesda, MD, USA","Uniformed Services University of Health Sciences Bethesda MD USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uniformed Services University of Health Sciences, Bethesda, MD, USA","institution_ids":["https://openalex.org/I148314036"]},{"raw_affiliation_string":"Uniformed Services University of Health Sciences Bethesda MD USA","institution_ids":["https://openalex.org/I148314036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516802","display_name":"Kai Xing","orcid":"https://orcid.org/0000-0002-2556-6946"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Xing","raw_affiliation_strings":["Computer Science, George Washington University, Washington D.C., DC, USA","[Computer Science, George Washington University, Washington D.C., DC, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, George Washington University, Washington D.C., DC, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"[Computer Science, George Washington University, Washington D.C., DC, USA]","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027459275","display_name":"Xiaochun Cheng","orcid":"https://orcid.org/0000-0003-0371-9646"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiuzhen Chen","raw_affiliation_strings":["[Computer Science, George Washington University, Washington D.C., DC, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Computer Science, George Washington University, Washington D.C., DC, USA]","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":395,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"902","last_page":"913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9959999918937683,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75156569480896},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6286333799362183},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5403066277503967},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5231971740722656},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5193508863449097},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5129177570343018},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4772089123725891},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.47562816739082336},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4468916356563568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.439519464969635},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4180793762207031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.415131539106369},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33986741304397583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23963025212287903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75156569480896},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6286333799362183},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5403066277503967},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5231971740722656},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5193508863449097},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5129177570343018},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4772089123725891},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.47562816739082336},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4468916356563568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.439519464969635},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4180793762207031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.415131539106369},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33986741304397583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23963025212287903},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/infcom.2005.1498320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2005.1498320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.8208","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.seas.gwu.edu/~cheng/Publication/PID48574.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.1454","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.1454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.seas.gwu.edu/~cheng/Publications/Conferences/Boundary-INFOCOM2005.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1508951650","https://openalex.org/W1848594422","https://openalex.org/W1970655212","https://openalex.org/W1971115612","https://openalex.org/W1973917744","https://openalex.org/W1993684916","https://openalex.org/W2065790975","https://openalex.org/W2092952332","https://openalex.org/W2096793442","https://openalex.org/W2097380742","https://openalex.org/W2104532741","https://openalex.org/W2109785846","https://openalex.org/W2111609524","https://openalex.org/W2123628025","https://openalex.org/W2127699957","https://openalex.org/W2127949150","https://openalex.org/W2130759357","https://openalex.org/W2140372921","https://openalex.org/W2155947520","https://openalex.org/W2160597340","https://openalex.org/W2167396179","https://openalex.org/W2168962942","https://openalex.org/W2403641225","https://openalex.org/W4243016845","https://openalex.org/W4243367259","https://openalex.org/W4243443630","https://openalex.org/W4248301666","https://openalex.org/W4252430522","https://openalex.org/W4253972805","https://openalex.org/W6630331596","https://openalex.org/W6678899114"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2998914036","https://openalex.org/W2390565185","https://openalex.org/W1983393909","https://openalex.org/W2774527540","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"This":[0],"paper":[1],"targets":[2],"the":[3,11,24,27,35,90,122,158,177],"identification":[4,50],"of":[5,10,13,26,31,37,129],"faulty":[6,19,48,96],"sensors":[7,97,113],"and":[8,34,42,51,61,93,102,180],"detection":[9,25,179],"reach":[12],"events":[14],"in":[15,120,184],"sensor":[16,49,67,169],"networks":[17],"with":[18,98],"sensors.":[20],"Typical":[21],"applications":[22],"include":[23],"transportation":[28],"front":[29],"line":[30],"a":[32,99,103,134],"contamination":[33],"diagnosis":[36],"network":[38],"health.":[39],"We":[40],"propose":[41],"analyze":[43],"two":[44],"novel":[45],"algorithms":[46,57,86,124,148,172],"for":[47,168],"fault-tolerant":[52],"event":[53,91],"boundary":[54,92],"detection.":[55],"These":[56],"are":[58,79,149],"purely":[59],"localized":[60],"thus":[62],"scale":[63],"well":[64],"to":[65,176],"large":[66],"networks.":[68],"Their":[69],"computational":[70],"overhead":[71],"is":[72,118],"low,":[73],"since":[74],"only":[75,142],"simple":[76],"numerical":[77,164],"operations":[78],"involved.":[80],"Simulation":[81],"results":[82],"indicate":[83],"that":[84,121,140],"these":[85],"can":[87,94,125,152,160,173],"clearly":[88],"detect":[89],"identify":[95],"high":[100],"accuracy":[101],"low":[104],"false":[105],"alarm":[106],"rate":[107],"when":[108],"as":[109,111,132,155,157],"many":[110],"20%":[112],"become":[114],"faulty.":[115],"Our":[116],"work":[117],"exploratory":[119],"proposed":[123],"accept":[126],"any":[127],"kind":[128],"scalar":[130],"values":[131],"inputs,":[133],"dramatic":[135],"improvement":[136],"over":[137],"existing":[138],"works":[139],"take":[141],"0/1":[143],"decision":[144],"predicates.":[145],"Therefore,":[146],"our":[147,171],"generic.":[150],"They":[151],"be":[153,161,174],"applied":[154,175],"long":[156],"\"events\"":[159],"modelled":[162],"by":[163],"numbers.":[165],"Though":[166],"designed":[167],"networks,":[170],"outlier":[178],"regional":[181],"data":[182,186],"analysis":[183],"spatial":[185],"mining.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":21},{"year":2015,"cited_by_count":39},{"year":2014,"cited_by_count":44},{"year":2013,"cited_by_count":39},{"year":2012,"cited_by_count":27}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
