{"id":"https://openalex.org/W2057407476","doi":"https://doi.org/10.1109/glocomw.2011.6162382","title":"A Realistic Weighted Clustering algorithm for data gathering in single hop cell phone based sensor network","display_name":"A Realistic Weighted Clustering algorithm for data gathering in single hop cell phone based sensor network","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2057407476","doi":"https://doi.org/10.1109/glocomw.2011.6162382","mag":"2057407476"},"language":"en","primary_location":{"id":"doi:10.1109/glocomw.2011.6162382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2011.6162382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE GLOBECOM Workshops (GC Wkshps)","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/A5112734419","display_name":"M. B. Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. B. Shah","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046658188","display_name":"P. S. Tamhankar","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. S. Tamhankar","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079092830","display_name":"S. N. Merchant","orcid":"https://orcid.org/0000-0002-9119-6795"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. N. Merchant","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006161893","display_name":"U.B. Desai","orcid":"https://orcid.org/0000-0001-8019-6565"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"U. B. Desai","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.13345838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1253","last_page":"1257"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9993000030517578,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8063623309135437},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7700294256210327},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7257959246635437},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5829116702079773},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5667359232902527},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48594844341278076},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.43183642625808716},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.4232778251171112},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2767655849456787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11363881826400757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063623309135437},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7700294256210327},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7257959246635437},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5829116702079773},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5667359232902527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48594844341278076},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.43183642625808716},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.4232778251171112},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2767655849456787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11363881826400757},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocomw.2011.6162382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2011.6162382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE GLOBECOM Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1974887268","https://openalex.org/W2027513550","https://openalex.org/W2101678493","https://openalex.org/W2104846640","https://openalex.org/W2107123564","https://openalex.org/W2108918657","https://openalex.org/W2114795108","https://openalex.org/W2137100320","https://openalex.org/W2138677604","https://openalex.org/W2147902283","https://openalex.org/W2155492251","https://openalex.org/W2157775499","https://openalex.org/W2160208048","https://openalex.org/W2164293167","https://openalex.org/W2171182778","https://openalex.org/W6685249931"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"We":[0],"present":[1],"Weight":[2],"based":[3,15,22,64],"Realistic":[4],"Clustering":[5],"algorithm":[6,47,71,187],"(WRCA)":[7],"for":[8,34,87],"energy":[9,191],"efficient":[10],"data":[11,35,116],"collection":[12],"from":[13],"human":[14,40,85],"wireless":[16],"network":[17,195],"such":[18],"as":[19,43,149,197],"cell":[20],"phone":[21],"sensor":[23,115],"network.":[24],"The":[25],"WRCA":[26,97,110,140,163],"creates":[27],"better":[28,112],"load":[29,107],"balanced":[30],"and":[31,117,192],"stable":[32,55,60,91],"clusters":[33],"gathering":[36],"in":[37,106,159],"a":[38,74,126,168],"realistic":[39,99,169],"mobility":[41,67,86,165,170],"scenario":[42,100],"compared":[44,150,198],"to":[45,58,79,135,144,151,167,199],"WCA":[46,200],"of":[48,54,84,89,96,101,114,161],"mobile":[49],"adhoc":[50],"networks.":[51],"Traditional":[52],"way":[53],"clustering":[56],"used":[57,134],"select":[59,136],"Cluster":[61],"Heads":[62],"(CHs)":[63],"on":[65],"instantaneous":[66],"criteria.":[68],"While":[69],"our":[70,185],"incorporate":[72],"only":[73],"pause":[75,81],"time":[76,82],"weighting":[77,129],"parameter":[78],"leverage":[80],"distribution":[83],"selection":[88],"more":[90,194],"CHs.":[92,139],"Load":[93],"balancing":[94,108],"aspect":[95],"tackles":[98],"inhomogeneous":[102],"node":[103],"distribution.":[104],"Improvement":[105],"with":[109],"assure":[111],"aggregation":[113],"MAC":[118],"layer":[119],"performance.":[120],"This":[121,131],"is":[122,133,179],"accomplished":[123],"by":[124],"incorporating":[125],"density":[127,137,146],"center":[128],"parameter.":[130],"information":[132],"centered":[138,147],"requires":[141],"fewer":[142],"messages":[143],"find":[145],"nodes":[148],"TASC.":[152],"Simulation":[153,181],"results":[154],"demonstrate":[155],"the":[156,162],"overall":[157],"superiority":[158],"performance":[160],"when":[164],"according":[166],"model":[171],"called":[172],"Self":[173],"similar":[174],"Least":[175],"Action":[176],"Walk":[177],"(SLAW)":[178],"considered.":[180],"result":[182],"shows":[183],"that":[184],"proposed":[186],"consumes":[188],"20%":[189],"less":[190],"50%":[193],"lifetime":[196],"algorithm.":[201]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
