{"id":"https://openalex.org/W2071988172","doi":"https://doi.org/10.1109/infcom.2013.6566932","title":"Fault tolerant complex event detection in WSNs: A case study in structural health monitoring","display_name":"Fault tolerant complex event detection in WSNs: A case study in structural health monitoring","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2071988172","doi":"https://doi.org/10.1109/infcom.2013.6566932","mag":"2071988172"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2013.6566932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2013.6566932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Proceedings IEEE INFOCOM","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/A5100400532","display_name":"Xuefeng Liu","orcid":"https://orcid.org/0000-0001-9034-0217"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xuefeng Liu","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050393292","display_name":"Shaojie Tang","orcid":"https://orcid.org/0000-0001-9261-5210"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaojie Tang","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, USA","Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, USA","institution_ids":["https://openalex.org/I180949307"]},{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA#TAB#","institution_ids":["https://openalex.org/I180949307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9644,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.94673559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1384","last_page":"1392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.987500011920929,"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/T11472","display_name":"Analytical Chemistry and Sensors","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1502","display_name":"Bioengineering"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722009539604187},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6881005167961121},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.6455535888671875},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6237701773643494},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.578502357006073},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5593957901000977},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5461522340774536},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.45567426085472107},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43357646465301514},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.42632368206977844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3979564905166626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3264477849006653},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18268072605133057},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16690418124198914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14428865909576416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722009539604187},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6881005167961121},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.6455535888671875},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6237701773643494},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.578502357006073},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5593957901000977},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5461522340774536},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.45567426085472107},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43357646465301514},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.42632368206977844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3979564905166626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3264477849006653},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18268072605133057},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16690418124198914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14428865909576416},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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":2,"locations":[{"id":"doi:10.1109/infcom.2013.6566932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2013.6566932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Proceedings IEEE INFOCOM","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/25359","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/25359","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W155614086","https://openalex.org/W213987438","https://openalex.org/W588139629","https://openalex.org/W1601418055","https://openalex.org/W1673310716","https://openalex.org/W1786427715","https://openalex.org/W1977556410","https://openalex.org/W1991147404","https://openalex.org/W2003449296","https://openalex.org/W2030172741","https://openalex.org/W2061122559","https://openalex.org/W2078231888","https://openalex.org/W2080253819","https://openalex.org/W2091674427","https://openalex.org/W2100722180","https://openalex.org/W2111021814","https://openalex.org/W2111609524","https://openalex.org/W2124536999","https://openalex.org/W2127851808","https://openalex.org/W2138239223","https://openalex.org/W2139425982","https://openalex.org/W2139515706","https://openalex.org/W2144182447","https://openalex.org/W2145032215","https://openalex.org/W2154155660","https://openalex.org/W2154299843","https://openalex.org/W2154771386","https://openalex.org/W2160597340","https://openalex.org/W2166999932","https://openalex.org/W2168090960","https://openalex.org/W2482876289","https://openalex.org/W2994876357","https://openalex.org/W6637930735","https://openalex.org/W7000032846"],"related_works":["https://openalex.org/W317572049","https://openalex.org/W2017621034","https://openalex.org/W49622843","https://openalex.org/W2772836553","https://openalex.org/W2787341579","https://openalex.org/W2105642232","https://openalex.org/W2193564034","https://openalex.org/W1975451135","https://openalex.org/W3197833032","https://openalex.org/W1965514648"],"abstract_inverted_index":{"Reliably":[0],"detecting":[1,52],"event":[2,25,80,140,167,199],"in":[3,18,40,113,141,170,219],"the":[4,30,53,67,93,212],"presence":[5],"of":[6,32,55,69,124,137,159,184,229],"faulty":[7,12,33,70,84,101,187,192],"nodes,":[8],"particularly":[9],"nodes":[10,102],"with":[11,83],"readings":[13,34,71,85],"is":[14,121,231],"a":[15,122,157,165],"fundamental":[16],"task":[17],"wireless":[19],"sensor":[20,120,155],"networks":[21],"(WSNs).":[22],"Existing":[23],"fault-tolerant":[24,166],"detection":[26,168,194],"schemes":[27],"usually":[28],"'mask'":[29],"effect":[31,68],"through":[35,233],"high-level":[36],"fusion":[37],"techniques.":[38],"However,":[39],"some":[41],"applications":[42],"such":[43],"as":[44,110,206],"structural":[45,144],"health":[46],"monitoring":[47],"(SHM)":[48],"and":[49,90,153,196,208,236],"volcano":[50],"monitoring,":[51],"events":[54],"interest":[56],"requires":[57,146],"lowlevel":[58],"data":[59,109,116],"collaboration":[60,149],"from":[61,92,118,150],"multiple":[62,151],"sensors.":[63],"This":[64],"implies":[65],"that":[66],"cannot":[72],"be":[73,87],"masked":[74],"once":[75],"they":[76],"are":[77,179,221],"involved":[78],"into":[79],"detection.":[81,200],"Nodes":[82],"must":[86],"firstly":[88],"detected":[89],"removed":[91],"system.":[94],"Unfortunately,":[95],"most":[96],"existing":[97],"techniques":[98,178],"to":[99],"detect":[100],"can":[103,209],"only":[104],"take":[105],"boolean":[106],"or":[107],"scalar":[108],"input":[111,207],"while":[112],"these":[114,132],"applications,":[115],"generated":[117],"each":[119,154],"sequence":[123,158],"dynamic":[125,160],"data.":[126,162],"In":[127,174,201],"this":[128],"paper,":[129],"we":[130],"address":[131],"issues":[133],"using":[134],"an":[135],"example":[136],"SHM.":[138],"Detecting":[139],"SHM":[142,171],"(i.e.":[143],"damage)":[145],"low":[147],"level":[148],"sensors,":[152],"generates":[156],"vibrational":[161],"We":[163],"proposed":[164],"scheme":[169],"called":[172],"FTED.":[173],"FTED,":[175],"three":[176],"novel":[177],"proposed:":[180],"(1)":[181],"distributed":[182,198],"extraction":[183],"features":[185],"for":[186],"node":[188,193],"detection,":[189],"(2)":[190],"iterative":[191],"(I-FUND),":[195],"(3)":[197],"particular,":[202],"I-FUND":[203],"takes":[204],"vector":[205],"even":[210],"handle":[211],"'element":[213],"mismatch":[214],"problem'":[215],"where":[216],"comparable":[217],"elements":[218],"vectors":[220],"located":[222],"at":[223],"unknown":[224],"different":[225],"positions.":[226],"The":[227],"effectiveness":[228],"FTED":[230],"demonstrated":[232],"both":[234],"simulations":[235],"real":[237],"experiments.":[238]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}