{"id":"https://openalex.org/W1974437901","doi":"https://doi.org/10.1109/icumt.2009.5345532","title":"DSVCA: A novel distributed clustering algorithm for Wireless Sensor Networks based on statistical data correlation","display_name":"DSVCA: A novel distributed clustering algorithm for Wireless Sensor Networks based on statistical data correlation","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W1974437901","doi":"https://doi.org/10.1109/icumt.2009.5345532","mag":"1974437901"},"language":"en","primary_location":{"id":"doi:10.1109/icumt.2009.5345532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt.2009.5345532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Ultra Modern Telecommunications & Workshops","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/A5006344828","display_name":"Laura Imbriglio","orcid":null},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Laura Imbriglio","raw_affiliation_strings":["Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, University of L'' Aquila, L'Aquila, Italy","University of L'Aquila Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, 67040 Poggio di Roio, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, University of L'' Aquila, L'Aquila, Italy","institution_ids":["https://openalex.org/I26415053"]},{"raw_affiliation_string":"University of L'Aquila Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, 67040 Poggio di Roio, Italy","institution_ids":["https://openalex.org/I26415053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045356859","display_name":"Fabio Graziosi","orcid":"https://orcid.org/0000-0001-7808-0707"},"institutions":[{"id":"https://openalex.org/I26415053","display_name":"University of L'Aquila","ror":"https://ror.org/01j9p1r26","country_code":"IT","type":"education","lineage":["https://openalex.org/I26415053"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Graziosi","raw_affiliation_strings":["Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, University of L'' Aquila, L'Aquila, Italy","University of L'Aquila Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, 67040 Poggio di Roio, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, University of L'' Aquila, L'Aquila, Italy","institution_ids":["https://openalex.org/I26415053"]},{"raw_affiliation_string":"University of L'Aquila Department of Electrical and Information Engineering (DIEI) and Center of Excellence in Research DEWS, 67040 Poggio di Roio, Italy","institution_ids":["https://openalex.org/I26415053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006344828"],"corresponding_institution_ids":["https://openalex.org/I26415053"],"apc_list":null,"apc_paid":null,"fwci":0.6857,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7054511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":1.0,"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":1.0,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9944999814033508,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9916999936103821,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7739169597625732},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7545815110206604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7056313753128052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6753745675086975},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4577338993549347},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4468746781349182},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.41903120279312134},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.402287095785141},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.35507771372795105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34236109256744385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1729312241077423},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09207203984260559}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7739169597625732},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7545815110206604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056313753128052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6753745675086975},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4577338993549347},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4468746781349182},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.41903120279312134},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.402287095785141},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.35507771372795105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34236109256744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1729312241077423},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09207203984260559},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icumt.2009.5345532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icumt.2009.5345532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Ultra Modern Telecommunications & Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W165744362","https://openalex.org/W1525109264","https://openalex.org/W1589374005","https://openalex.org/W1787734157","https://openalex.org/W1848594422","https://openalex.org/W2002555544","https://openalex.org/W2012987308","https://openalex.org/W2019952623","https://openalex.org/W2061734185","https://openalex.org/W2088087163","https://openalex.org/W2097456325","https://openalex.org/W2099751474","https://openalex.org/W2101678493","https://openalex.org/W2111872234","https://openalex.org/W2113829484","https://openalex.org/W2114124631","https://openalex.org/W2115187901","https://openalex.org/W2121437951","https://openalex.org/W2126644064","https://openalex.org/W2127949150","https://openalex.org/W2130561842","https://openalex.org/W2132549513","https://openalex.org/W2144253648","https://openalex.org/W2149076393","https://openalex.org/W2163533836","https://openalex.org/W2528956934","https://openalex.org/W3015911510","https://openalex.org/W3117609753","https://openalex.org/W6638729785","https://openalex.org/W6679268071"],"related_works":["https://openalex.org/W2491448268","https://openalex.org/W2559422900","https://openalex.org/W2892323093","https://openalex.org/W3144143113","https://openalex.org/W2394193399","https://openalex.org/W2181939267","https://openalex.org/W2390610678","https://openalex.org/W3071522575","https://openalex.org/W2363054820","https://openalex.org/W2101174895"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1],"networks":[2],"(WSNs)":[3],"are":[4],"receiving":[5],"an":[6],"upsurge":[7],"of":[8,24,29,58,92,126,141,148,157,208],"research":[9],"interest":[10],"in":[11,60,80],"both":[12],"academia":[13],"and":[14,22,41,68,98,111,202],"industry.":[15],"The":[16,177],"key":[17],"issue":[18],"for":[19,77,197,203],"the":[20,27,61,90,105,124,132,139,145,154,162,171,205,209],"design":[21],"operation":[23],"WSNs":[25],"is":[26,46,180],"optimization":[28],"power":[30],"consumptions.":[31],"Several":[32],"approaches":[33],"have":[34],"been":[35,96],"proposed":[36],"to":[37,48,53,63,71,100,131,153,169,192],"address":[38],"this":[39,113],"aspect":[40],"a":[42,56,72,84,166,194],"very":[43],"promising":[44],"approach":[45],"known":[47],"be":[49,190,193],"\u00bfclustering\u00bf,":[50],"which":[51,188],"foresees":[52],"allow":[54],"only":[55],"subset":[57],"nodes":[59],"network":[62],"send":[64],"data":[65,78,142,152,199],"(via":[66],"compress":[67],"aggregate":[69],"operations)":[70],"common":[73],"sink":[74],"node":[75],"(e.g.,":[76],"reporting":[79],"monitoring":[81],"application).":[82],"Recently,":[83],"novel":[85,178],"clustering":[86,115],"algorithm":[87,179],"based":[88],"on":[89],"concept":[91,140],"\u00bfdata":[93],"similarity\u00bf":[94],"has":[95],"introduced":[97],"shown":[99],"provide":[101],"good":[102,195],"performance.":[103],"In":[104,135],"present":[106],"paper,":[107],"we":[108,137],"move":[109],"from":[110,144],"generalize":[112],"latter":[114],"algorithm,":[116],"as":[117,119,165],"well":[118],"substantiate":[120],"via":[121],"computer":[122],"simulations":[123],"advantages":[125],"our":[127],"solution":[128,196],"with":[129],"respect":[130],"original":[133],"one.":[134],"particular,":[136],"extend":[138],"similarity":[143],"perfect":[146],"match":[147],"measured":[149,175],"(i.e.,":[150],"raw)":[151],"statistical":[155,172],"correlation":[156,173],"them.":[158],"We":[159],"also":[160],"introduce":[161],"semi-variogram":[163],"metric":[164],"sound":[167],"measure":[168],"estimate":[170],"among":[174],"data.":[176],"termed":[181],"Data":[182],"Similarity":[183],"Variogram-based":[184],"Clustering":[185],"Algorithm":[186],"(DSVCA),":[187],"will":[189],"proven":[191],"network's":[198],"traffic":[200],"minimization":[201],"reducing":[204],"energy":[206],"consumptions":[207],"overall":[210],"network.":[211]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}