{"id":"https://openalex.org/W2499741707","doi":"https://doi.org/10.1109/icc.2016.7511419","title":"A novel R-PCA based multivariate fault-tolerant data aggregation algorithm in WSNs","display_name":"A novel R-PCA based multivariate fault-tolerant data aggregation algorithm in WSNs","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2499741707","doi":"https://doi.org/10.1109/icc.2016.7511419","mag":"2499741707"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2016.7511419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2016.7511419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Communications (ICC)","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/A5072355923","display_name":"Tianqi Yu","orcid":"https://orcid.org/0000-0002-4122-4348"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tianqi Yu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733413","display_name":"Xianbin Wang","orcid":"https://orcid.org/0000-0003-4890-0748"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xianbin Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041270670","display_name":"Abdallah Shami","orcid":"https://orcid.org/0000-0003-2887-0350"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdallah Shami","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9947999715805054,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9947999715805054,"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/T12676","display_name":"Machine Learning and ELM","score":0.992900013923645,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9878000020980835,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7386324405670166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.619590163230896},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.5578013062477112},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4846945106983185},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.4787708818912506},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.46229287981987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39093124866485596},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19507169723510742},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1769636571407318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15993785858154297}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7386324405670166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619590163230896},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.5578013062477112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4846945106983185},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4787708818912506},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.46229287981987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39093124866485596},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19507169723510742},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1769636571407318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15993785858154297}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2016.7511419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2016.7511419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W139908555","https://openalex.org/W1555148682","https://openalex.org/W1575259863","https://openalex.org/W1973117771","https://openalex.org/W2045424280","https://openalex.org/W2050003337","https://openalex.org/W2094167877","https://openalex.org/W2113026618","https://openalex.org/W2128569883","https://openalex.org/W2153594468","https://openalex.org/W3100857292","https://openalex.org/W6605715689"],"related_works":["https://openalex.org/W2793666424","https://openalex.org/W2406638334","https://openalex.org/W1521063997","https://openalex.org/W4390961098","https://openalex.org/W2558765606","https://openalex.org/W857034687","https://openalex.org/W2093193679","https://openalex.org/W2149099995","https://openalex.org/W4361214895","https://openalex.org/W2092540298"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,28,38,61,80],"networks":[2],"have":[3,144],"already":[4],"been":[5,52,145],"pervasively":[6],"utilized":[7],"due":[8],"to":[9,55,70,93,111,147],"the":[10,57,64,75,96,124,131,149,157,161,170],"rapid":[11],"deployment":[12],"of":[13,27,78,151],"information":[14],"and":[15,44,115,168],"communication":[16],"technology":[17],"(ICT)":[18],"in":[19,37,73],"many":[20],"industrial":[21],"applications,":[22],"which":[23],"generate":[24],"massive":[25,58],"amount":[26],"data.":[29,62],"This":[30],"development":[31],"has":[32,51],"brought":[33],"several":[34],"technical":[35],"challenges":[36],"data":[39,42,45,113,116,171],"processing,":[40],"e.g.,":[41],"fault":[43,114,162],"redundancy.":[46],"Principal":[47],"component":[48,87],"analysis":[49,88],"(PCA)":[50],"used":[53],"recently":[54],"process":[56],"but":[59],"correlated":[60],"However,":[63],"conventional":[65,121],"PCA":[66],"method":[67,90],"is":[68,91,109,127],"difficult":[69],"be":[71,135],"adapted":[72],"following":[74],"dynamic":[76],"conditions":[77],"wireless":[79],"networks.":[81],"In":[82],"this":[83],"paper,":[84],"recursive":[85],"principal":[86,101],"(R-PCA)":[89],"exploited":[92],"progressively":[94],"update":[95],"transformation":[97],"basis":[98],"for":[99],"extracting":[100],"components.":[102],"Furthermore,":[103],"a":[104,141],"novel":[105],"R-PCA":[106],"based":[107,139],"algorithm":[108,126,159],"proposed":[110,125,158],"address":[112],"redundancy":[117],"problems.":[118],"Different":[119],"from":[120],"PCA-based":[122],"algorithms,":[123],"cluster-based":[128],"so":[129],"that":[130,156],"network":[132],"efficiency":[133],"can":[134],"further":[136],"improved.":[137],"Simulations":[138],"on":[140],"practical":[142],"dataset":[143],"conducted":[146],"evaluate":[148],"performance":[150],"algorithms.":[152],"Simulation":[153],"results":[154],"show":[155],"improves":[160],"detection":[163],"accuracy":[164],"by":[165,174],"about":[166,175],"20%":[167],"reduces":[169],"restoration":[172],"error":[173],"28%.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
