{"id":"https://openalex.org/W4220869882","doi":"https://doi.org/10.1108/ijicc-10-2021-0225","title":"Integrated dominating and hit set-inspired unequal clustering-based data aggregation in wireless sensor networks","display_name":"Integrated dominating and hit set-inspired unequal clustering-based data aggregation in wireless sensor networks","publication_year":2022,"publication_date":"2022-03-15","ids":{"openalex":"https://openalex.org/W4220869882","doi":"https://doi.org/10.1108/ijicc-10-2021-0225"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-10-2021-0225","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-10-2021-0225","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","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/A5077233976","display_name":"G. Vennira Selvi","orcid":"https://orcid.org/0000-0003-1372-4422"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Vennira Selvi","raw_affiliation_strings":["Department of Computer Science and Engineering, Global Institute of Engineering and Technology, Vellore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Global Institute of Engineering and Technology, Vellore, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043085840","display_name":"V. Muthukumaran","orcid":null},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Muthukumaran","raw_affiliation_strings":["Department of Mathematics, School of Applied Sciences, REVA University, Bangalore, India"],"raw_orcid":"https://orcid.org/0000-0002-3393-5596","affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Applied Sciences, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042354808","display_name":"A. C. Kaladevi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.C. Kaladevi","raw_affiliation_strings":["Department of Computer Science and Engineering, Sona College of Technology, Salem, India"],"raw_orcid":"https://orcid.org/0000-0002-7890-7601","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sona College of Technology, Salem, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060084905","display_name":"S. Satheesh Kumar","orcid":"https://orcid.org/0000-0002-2635-4777"},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Satheesh Kumar","raw_affiliation_strings":["Department of Computer Science, School of Applied Sciences, REVA University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Applied Sciences, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037366813","display_name":"B. Swapna","orcid":"https://orcid.org/0000-0002-7186-2842"},"institutions":[{"id":"https://openalex.org/I19926482","display_name":"Dr. M.G.R. Educational and Research Institute","ror":"https://ror.org/053hsst90","country_code":"IN","type":"education","lineage":["https://openalex.org/I19926482"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Swapna","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Dr MGR Educational and Research Institute, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Dr MGR Educational and Research Institute, Chennai, India","institution_ids":["https://openalex.org/I19926482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5704,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66780078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"15","issue":"4","first_page":"642","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9760000109672546,"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":0.9401000142097473,"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":0.7629632949829102},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7305424213409424},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7266253232955933},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6673685312271118},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5899380445480347},{"id":"https://openalex.org/keywords/dominating-set","display_name":"Dominating set","score":0.577852725982666},{"id":"https://openalex.org/keywords/connected-dominating-set","display_name":"Connected dominating set","score":0.5707869529724121},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.5187395215034485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5162608623504639},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4832483232021332},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47944894433021545},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46707940101623535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3631207346916199},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34090954065322876},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16891518235206604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11609423160552979},{"id":"https://openalex.org/keywords/minimum-spanning-tree","display_name":"Minimum spanning tree","score":0.07970696687698364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629632949829102},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7305424213409424},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7266253232955933},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6673685312271118},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5899380445480347},{"id":"https://openalex.org/C146661039","wikidata":"https://www.wikidata.org/wiki/Q2915204","display_name":"Dominating set","level":4,"score":0.577852725982666},{"id":"https://openalex.org/C37810922","wikidata":"https://www.wikidata.org/wiki/Q5161409","display_name":"Connected dominating set","level":3,"score":0.5707869529724121},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.5187395215034485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5162608623504639},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4832483232021332},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47944894433021545},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46707940101623535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3631207346916199},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34090954065322876},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16891518235206604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11609423160552979},{"id":"https://openalex.org/C13743678","wikidata":"https://www.wikidata.org/wiki/Q240464","display_name":"Minimum spanning tree","level":2,"score":0.07970696687698364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","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},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijicc-10-2021-0225","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-10-2021-0225","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1566890514","https://openalex.org/W1588699101","https://openalex.org/W1986129901","https://openalex.org/W2033436614","https://openalex.org/W2039037394","https://openalex.org/W2042626642","https://openalex.org/W2081989110","https://openalex.org/W2093056188","https://openalex.org/W2095431629","https://openalex.org/W2104690502","https://openalex.org/W2153618687","https://openalex.org/W2161330369","https://openalex.org/W2407433148","https://openalex.org/W2538319248","https://openalex.org/W3046797782","https://openalex.org/W3141863997","https://openalex.org/W3160051017","https://openalex.org/W3187220208","https://openalex.org/W4231948096"],"related_works":["https://openalex.org/W2064421217","https://openalex.org/W2793328088","https://openalex.org/W2121214005","https://openalex.org/W2269101662","https://openalex.org/W2370909876","https://openalex.org/W2787810245","https://openalex.org/W2781999953","https://openalex.org/W2577596268","https://openalex.org/W2608158510","https://openalex.org/W2077198514"],"abstract_inverted_index":{"Purpose":[0],"In":[1,195],"wireless":[2],"sensor":[3],"networks,":[4],"improving":[5,174],"the":[6,12,25,46,72,80,90,98,101,103,134,138,145,151,155,164,175,185,200,210,226,230,247,252,258,265,275,285,289,292,298,307,317,327,332,335,341],"network":[7,91,176,201,293,336],"lifetime":[8,92,99,177,198,290,333],"is":[9,86,93,171,202,244,330],"considered":[10,191],"as":[11,36],"prime":[13],"objective":[14],"that":[15,163,284,326],"needs":[16],"to":[17,68,77,154,178,250],"be":[18],"significantly":[19],"addressed":[20],"during":[21],"data":[22,27,41,153],"aggregation.":[23],"Among":[24],"traditional":[26],"aggregation":[28],"techniques,":[29],"cluster-based":[30,48],"dominating":[31,49,127,211,276,318],"set":[32,50,110,122,128,136,212,224,249],"algorithms":[33,51],"are":[34],"identified":[35],"more":[37],"effective":[38],"in":[39,173,257],"aggregating":[40],"through":[42],"cluster":[43,147,187,208,217,242],"heads.":[44],"But,":[45],"existing":[47,186,299,342],"suffer":[52],"from":[53],"a":[54,61,179,268,310],"major":[55],"drawback":[56],"of":[57,64,82,100,140,182,199,237,254,271,291,313,334],"energy":[58,81,232],"deficiency":[59],"when":[60,295,338],"large":[62],"number":[63,139,253,270,312],"communicating":[65,84,141,255,272,314],"nodes":[66,142,256,273,315],"need":[67],"collaborate":[69],"for":[70,149,192],"transferring":[71,150],"aggregated":[73,152],"data.":[74],"Further,":[75],"due":[76],"this":[78,196],"reason,":[79],"each":[83,238],"node":[85,235],"gradually":[87],"decreased":[88],"and":[89,111,123,133,213,233,277,319],"also":[94,161],"decreased.":[95],"To":[96],"increase":[97],"network,":[102],"proposed":[104,116,165,261,286,303,328],"algorithm":[105,117,169,262,287,304,329],"uses":[106,118],"two":[107,119],"sets:":[108,120],"Dominating":[109,121],"hit":[112,124,135,220,248,278,320],"set.":[113,125,221,279],"Design/methodology/approach":[114],"The":[115,126,158,222,240,260,280,302,322],"constructs":[129,264,306],"an":[130,206,215],"unequal":[131,167,207],"clustering,":[132],"minimizes":[137],"by":[143,204,246],"selecting":[144],"optimized":[146,166,216,241],"head":[148,188,218,243],"base":[156],"station.":[157],"simulation":[159,281,323],"results":[160],"infer":[162],"clustering":[168],"(OUCA)":[170],"greater":[172],"maximum":[180],"amount":[181],"22%":[183],"than":[184],"selection":[189],"approach":[190],"examination.":[193],"Findings":[194],"paper,":[197],"prolonged":[203],"constructing":[205],"using":[209,219,274,316],"electing":[214],"dominator":[223,227],"chooses":[225],"based":[228],"on":[229],"remaining":[231],"its":[234],"degree":[236],"node.":[239],"chosen":[245],"minimize":[251],"network.":[259],"effectively":[263,305],"clusters":[266,308],"with":[267,297,309,340],"minimum":[269,311],"result":[282,324],"confirms":[283,325],"prolonging":[288,331],"efficiently":[294,337],"compared":[296,339],"algorithms.":[300,343],"Originality/value":[301],"sets.":[321]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}