{"id":"https://openalex.org/W2467043268","doi":"https://doi.org/10.1109/icghpc.2016.7508073","title":"Fuzzy association rule based Cluster head selection in wireless Sensor Network","display_name":"Fuzzy association rule based Cluster head selection in wireless Sensor Network","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2467043268","doi":"https://doi.org/10.1109/icghpc.2016.7508073","mag":"2467043268"},"language":"en","primary_location":{"id":"doi:10.1109/icghpc.2016.7508073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icghpc.2016.7508073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Green High Performance Computing (ICGHPC)","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/A5087610989","display_name":"S. Nalini","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Nalini","raw_affiliation_strings":["Department of Computer Applications, Anna University, Tiruchirappalli"],"affiliations":[{"raw_affiliation_string":"Department of Computer Applications, Anna University, Tiruchirappalli","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043232548","display_name":"A. Valarmathi","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Valarmathi","raw_affiliation_strings":["Department of Computer Applications, Anna University, Tiruchirappalli"],"affiliations":[{"raw_affiliation_string":"Department of Computer Applications, Anna University, Tiruchirappalli","institution_ids":["https://openalex.org/I33585257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087610989"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":0.2895,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61902776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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":0.9998000264167786,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9866999983787537,"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":0.7632263898849487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732230007648468},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.5630464553833008},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5391343832015991},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4780193567276001},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46724939346313477},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.461150199174881},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44817131757736206},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4437454342842102},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.41840028762817383},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4143831431865692},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4023230969905853},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3364430367946625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2981071174144745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1703992784023285},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1509297788143158}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7632263898849487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732230007648468},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5630464553833008},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5391343832015991},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4780193567276001},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46724939346313477},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.461150199174881},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44817131757736206},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4437454342842102},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.41840028762817383},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4143831431865692},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4023230969905853},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3364430367946625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2981071174144745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1703992784023285},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1509297788143158},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/icghpc.2016.7508073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icghpc.2016.7508073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Green High Performance Computing (ICGHPC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1528227948","https://openalex.org/W2030787543","https://openalex.org/W2105128177","https://openalex.org/W2129064389","https://openalex.org/W2129072521","https://openalex.org/W2141413722","https://openalex.org/W2145417574","https://openalex.org/W2166827105","https://openalex.org/W2168452204","https://openalex.org/W2170239483","https://openalex.org/W2317246187","https://openalex.org/W6675627756"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2354366580","https://openalex.org/W2356285479","https://openalex.org/W2384373317","https://openalex.org/W4311180247","https://openalex.org/W1570809589","https://openalex.org/W2171871242","https://openalex.org/W2124364062","https://openalex.org/W2433632164"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,34,75],"networks":[2],"can":[3,135],"be":[4],"deployed":[5],"in":[6,73,144],"a":[7,123,130,165],"site":[8],"where":[9],"the":[10,25,33,55,62,70,74,83,97,106,118,137,145,154,159,170],"traditional":[11],"networking":[12],"infrastructure":[13],"is":[14,67],"practically":[15],"impossible.":[16],"Energy,":[17],"memory,":[18],"computation":[19],"resources":[20],"and":[21,46,58,101,109,158],"transmission":[22],"range":[23],"are":[24,36,52,103,114,162],"limitations":[26],"of":[27,69],"Sensor":[28],"Network.":[29],"In":[30],"this":[31,78],"network,":[32],"nodes":[35],"grouped":[37],"together":[38],"to":[39,54,61],"form":[40],"clusters.":[41],"Cluster":[42,138],"performs":[43],"data":[44,48,51],"aggregation":[45],"limits":[47],"transmissions":[49],"hence":[50],"disseminated":[53],"cluster":[56,98],"head":[57],"further":[59],"propagated":[60],"base":[63],"station.":[64],"Storage":[65],"constraint":[66],"one":[68],"challenging":[71],"factors":[72],"network.":[76],"Hence,":[77],"paper":[79],"focuses":[80],"on":[81,117],"reducing":[82],"rule":[84,90,107,112,132,156],"set":[85,108,133,157],"by":[86],"incorporating":[87],"an":[88],"association":[89],"along":[91],"with":[92,122],"fuzzy":[93],"logic":[94],"for":[95,105,153],"predicting":[96],"head.":[99],"Support":[100],"confidence":[102,120],"evaluated":[104],"reduced":[110,155,163],"final":[111],"sets":[113],"generated":[115],"based":[116],"calculated":[119],"level":[121],"certain":[124],"threshold.":[125],"Simulation":[126],"results":[127],"showed":[128],"that":[129],"minimum":[131],"bin":[134],"predict":[136],"head,":[139],"which":[140],"has":[141],"high":[142],"potential":[143],"group.":[146],"The":[147],"Node":[148],"occupies":[149],"less":[150],"memory":[151],"space":[152],"computational":[160],"complexities":[161],"as":[164],"result":[166],"it":[167],"also":[168],"enhances":[169],"network":[171],"lifetime.":[172]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}