{"id":"https://openalex.org/W2935678347","doi":"https://doi.org/10.1109/acit.2018.8672680","title":"A Fast Clustering Algorithm for Analyzing Big Data Generated in Ubiquitous Sensor Networks","display_name":"A Fast Clustering Algorithm for Analyzing Big Data Generated in Ubiquitous Sensor Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2935678347","doi":"https://doi.org/10.1109/acit.2018.8672680","mag":"2935678347"},"language":"en","primary_location":{"id":"doi:10.1109/acit.2018.8672680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit.2018.8672680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Arab Conference on Information Technology (ACIT)","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/A5045411090","display_name":"Oussama Zahwe","orcid":"https://orcid.org/0000-0002-7926-1910"},"institutions":[{"id":"https://openalex.org/I4210126908","display_name":"American University of Culture and Education","ror":"https://ror.org/0322dgg87","country_code":"LB","type":"education","lineage":["https://openalex.org/I4210126908"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Oussama Zahwe","raw_affiliation_strings":["Computer Science department, American University of Culture and Education (AUCE), Tyre, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science department, American University of Culture and Education (AUCE), Tyre, Lebanon","institution_ids":["https://openalex.org/I4210126908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089995920","display_name":"Ola Majed","orcid":null},"institutions":[{"id":"https://openalex.org/I160368002","display_name":"Lebanese University","ror":"https://ror.org/05x6qnc69","country_code":"LB","type":"education","lineage":["https://openalex.org/I160368002"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ola Majed","raw_affiliation_strings":["Computer Science department, Lebanese University, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science department, Lebanese University, Beirut, Lebanon","institution_ids":["https://openalex.org/I160368002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005132068","display_name":"Hassan Harb","orcid":"https://orcid.org/0000-0003-3066-9189"},"institutions":[{"id":"https://openalex.org/I4210126908","display_name":"American University of Culture and Education","ror":"https://ror.org/0322dgg87","country_code":"LB","type":"education","lineage":["https://openalex.org/I4210126908"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Hassan Harb","raw_affiliation_strings":["Computer Science department, American University of Culture and Education (AUCE), Tyre, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science department, American University of Culture and Education (AUCE), Tyre, Lebanon","institution_ids":["https://openalex.org/I4210126908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032239152","display_name":"Mohamad Hamze","orcid":"https://orcid.org/0000-0003-4610-1600"},"institutions":[{"id":"https://openalex.org/I160368002","display_name":"Lebanese University","ror":"https://ror.org/05x6qnc69","country_code":"LB","type":"education","lineage":["https://openalex.org/I160368002"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Mohamad Hamze","raw_affiliation_strings":["Computer Science department, Lebanese University, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science department, Lebanese University, Beirut, Lebanon","institution_ids":["https://openalex.org/I160368002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002114766","display_name":"Abbass Nasser","orcid":"https://orcid.org/0000-0002-7768-8953"},"institutions":[{"id":"https://openalex.org/I4210126908","display_name":"American University of Culture and Education","ror":"https://ror.org/0322dgg87","country_code":"LB","type":"education","lineage":["https://openalex.org/I4210126908"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Abbass Nasser","raw_affiliation_strings":["Computer Science department, American University of Culture and Education (AUCE), Tyre, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science department, American University of Culture and Education (AUCE), Tyre, Lebanon","institution_ids":["https://openalex.org/I4210126908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4524,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59091101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"21","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":0.9998000264167786,"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":0.9998000264167786,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.982200026512146,"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":0.8126846551895142},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.711709201335907},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.6823486685752869},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5698080062866211},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5633697509765625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5469553470611572},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4921676516532898},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4817540645599365},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4713446795940399},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4678286910057068},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.42190489172935486},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21306326985359192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1362742781639099},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08365458250045776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8126846551895142},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.711709201335907},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.6823486685752869},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5698080062866211},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5633697509765625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5469553470611572},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4921676516532898},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4817540645599365},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4713446795940399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4678286910057068},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.42190489172935486},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21306326985359192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1362742781639099},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08365458250045776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit.2018.8672680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit.2018.8672680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Arab Conference on Information Technology (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W158695752","https://openalex.org/W1151409704","https://openalex.org/W1512569910","https://openalex.org/W1548642493","https://openalex.org/W1654208236","https://openalex.org/W1977138534","https://openalex.org/W2010219032","https://openalex.org/W2021625127","https://openalex.org/W2039057659","https://openalex.org/W2116562821","https://openalex.org/W2126644064","https://openalex.org/W2403666053","https://openalex.org/W2407192810","https://openalex.org/W6713274005"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2084724079","https://openalex.org/W2111773953","https://openalex.org/W2946762040","https://openalex.org/W3049054441","https://openalex.org/W2788671511","https://openalex.org/W4385515363","https://openalex.org/W3139002074"],"abstract_inverted_index":{"Recently,":[0],"The":[1,136,160,206],"emergence":[2],"of":[3,15,20,26,48,59,109,120,123,147,157,212,217],"wireless":[4],"sensor":[5,197],"networks":[6],"(WSNs)":[7],"plays":[8],"a":[9,91,144],"major":[10,35],"role":[11],"in":[12,82,105,149,215,228],"the":[13,40,46,56,117,133,153,158,168,174,178,185,202,210,219],"rise":[14],"big":[16,41,79],"data":[17,27,42,60,71,80,93,130,198,223,229],"as":[18,73],"thousands":[19],"their":[21,86],"applications":[22,104],"collect":[23],"huge":[24,57],"amounts":[25],"that":[28],"require":[29],"processing.":[30],"Consequently,":[31],"WSN":[32],"faces":[33],"two":[34,110],"challenges.":[36],"First,":[37],"it":[38],"handles":[39],"collection,":[43],"and":[44,62,113,199,222],"second,":[45],"energy":[47,220],"sensors":[49],"will":[50],"be":[51],"depleted":[52],"quickly":[53],"due":[54],"to":[55,77,102,115,132,151,173],"volume":[58],"collection":[61,81],"transmission.":[63],"Hence,":[64],"current":[65],"research":[66],"has":[67],"been":[68],"focused":[69],"on":[70,195],"classification":[72],"an":[74],"efficient":[75],"technique":[76,95,190,214],"reduce":[78],"WSNs":[83],"thus":[84],"enhancing":[85],"lifetime.":[87],"This":[88],"paper":[89],"proposes":[90],"fast":[92,129],"clustering":[94],"called":[96],"FKmeans,":[97],"i.e.":[98,139,163],"Fast":[99],"Kmeans,":[100],"dedicated":[101],"periodic":[103],"WSNs.":[106],"FKmeans":[107],"consists":[108],"stage":[111],"algorithm":[112,126,171],"aims":[114],"enhance":[116],"time":[118],"cost":[119],"distance":[121,176],"calculation":[122],"traditional":[124,169,203],"Kmeans":[125,170,204],"thus,":[127],"ensure":[128],"delivery":[131,224],"sink":[134],"node.":[135],"first":[137,186],"stage,":[138,142,162,166],"center":[140],"selection":[141],"selects":[143],"small":[145],"portion":[146],"datasets":[148],"order":[150],"find":[152],"best":[154],"possible":[155],"location":[156],"centers.":[159],"second":[161],"cluster":[164],"formation":[165],"uses":[167],"adopted":[172],"Euclidean":[175],"where":[177],"initial":[179],"centers":[180],"used":[181],"are":[182],"taken":[183],"from":[184],"stage.":[187],"Our":[188],"proposed":[189],"is":[191],"validated":[192],"via":[193],"simulations":[194],"real":[196],"comparison":[200],"with":[201],"algorithm.":[205],"obtained":[207],"results":[208],"show":[209],"effectiveness":[211],"our":[213],"terms":[216],"improving":[218],"consumption":[221],"delay,":[225],"without":[226],"loss":[227],"fidelity.":[230]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}