{"id":"https://openalex.org/W4241818586","doi":"https://doi.org/10.1504/ijcaet.2017.10001012","title":"Performance measures of fuzzy C-means algorithm in wireless sensor networks","display_name":"Performance measures of fuzzy C-means algorithm in wireless sensor networks","publication_year":2016,"publication_date":"2016-11-02","ids":{"openalex":"https://openalex.org/W4241818586","doi":"https://doi.org/10.1504/ijcaet.2017.10001012"},"language":"en","primary_location":{"id":"doi:10.1504/ijcaet.2017.10001012","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcaet.2017.10001012","pdf_url":null,"source":{"id":"https://openalex.org/S5114360","display_name":"International Journal of Computer Aided Engineering and Technology","issn_l":"1757-2657","issn":["1757-2657","1757-2665"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Aided Engineering and Technology","raw_type":"journal-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/A5110358554","display_name":"Ashvini Chaturvedi","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashvini Chaturvedi","raw_affiliation_strings":["Center of Excellence, WSN Division, National Institute of Technology Karnataka, Mangalore-575025, India"],"affiliations":[{"raw_affiliation_string":"Center of Excellence, WSN Division, National Institute of Technology Karnataka, Mangalore-575025, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452929","display_name":"Pramod Kumar","orcid":"https://orcid.org/0000-0002-5449-1816"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pramod Kumar","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal-576104, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal-576104, India","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110358554"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35423667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":"84","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9968000054359436,"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":0.9968000054359436,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.8481937050819397},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7424590587615967},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6831156611442566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6313015222549438},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5169122219085693},{"id":"https://openalex.org/keywords/sink","display_name":"Sink (geography)","score":0.5058979392051697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4406237006187439},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43949806690216064},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.41182056069374084},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.356192946434021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20569950342178345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15986663103103638},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08762520551681519}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8481937050819397},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7424590587615967},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6831156611442566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6313015222549438},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5169122219085693},{"id":"https://openalex.org/C143050476","wikidata":"https://www.wikidata.org/wiki/Q194502","display_name":"Sink (geography)","level":2,"score":0.5058979392051697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4406237006187439},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43949806690216064},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.41182056069374084},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.356192946434021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20569950342178345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15986663103103638},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08762520551681519},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcaet.2017.10001012","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcaet.2017.10001012","pdf_url":null,"source":{"id":"https://openalex.org/S5114360","display_name":"International Journal of Computer Aided Engineering and Technology","issn_l":"1757-2657","issn":["1757-2657","1757-2665"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Aided Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2064117466","https://openalex.org/W3038204311","https://openalex.org/W2186101196","https://openalex.org/W2607179100","https://openalex.org/W3039354370","https://openalex.org/W2140639809","https://openalex.org/W2387908128","https://openalex.org/W2133920285","https://openalex.org/W2981254835"],"abstract_inverted_index":{"The":[0,107,170],"major":[1],"issues":[2,36],"that":[3],"govern":[4],"performance":[5,129],"of":[6,14,21,38,52,63,80,98,120,124,130,160,166,173,183],"wireless":[7],"sensor":[8,71,117],"networks":[9],"(WSNs)":[10],"are":[11,44,102],"efficient":[12,180],"uses":[13,37],"limited":[15],"resources":[16],"and":[17,40,49,93,116],"appropriate":[18],"routing":[19],"decisions":[20],"network":[22],"paths":[23],"under":[24],"the":[25,85,90,94,114,121,145,154,184],"severely":[26],"constrained":[27],"energy":[28,74,179],"scenario.":[29],"In":[30],"this":[31],"work,":[32],"to":[33,135,149,177],"address":[34],"these":[35,58,100],"k-means":[39,136],"fuzzy":[41],"C-means":[42],"algorithms":[43],"investigated":[45],"for":[46,112],"clusters":[47,99,101],"formation":[48],"subsequent":[50],"selection":[51,62],"cluster":[53,64],"heads":[54],"(CHs).":[55],"For":[56],"all":[57,113],"newly":[59],"formed":[60],"clusters;":[61],"head":[65],"is":[66,110,142,147,175],"done":[67],"based":[68],"on":[69],"member":[70],"nodes":[72,118],"residual":[73],"status":[75],"(RES)":[76],"followed":[77],"by":[78],"estimation":[79,109],"Euclidean":[81,86],"distances.":[82],"Depending":[83],"upon":[84],"distance":[87],"measures":[88],"between":[89],"sink":[91,146,174],"node":[92],"estimated":[95],"energy-centroid":[96],"(EC)":[97],"classified":[103],"into":[104],"five":[105],"types.":[106],"RES":[108],"exercised":[111],"CHs":[115],"(SNs)":[119],"network.":[122],"Outcomes":[123],"simulation":[125],"results":[126],"indicate":[127],"superior":[128],"fuzzy-c":[131],"means":[132],"algorithm":[133],"compared":[134],"algorithm.":[137],"Further,":[138],"a":[139],"case":[140],"study":[141],"presented,":[143],"wherein":[144],"allowed":[148],"have":[150],"some":[151],"movements":[152],"in":[153],"service":[155,161],"area.":[156],"Here,":[157],"different":[158,164],"quadrant":[159],"area":[162],"exhibits":[163],"pattern":[165],"query":[167],"spatial":[168],"distribution.":[169],"optimal":[171],"location":[172],"sought":[176],"support":[178],"operational":[181],"aspects":[182],"WSNs.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}