{"id":"https://openalex.org/W2551510613","doi":"https://doi.org/10.1504/ijsnet.2015.10001254","title":"Energy Efficient Data Aggregation in Wireless Sensor Networks Using Neural Networks","display_name":"Energy Efficient Data Aggregation in Wireless Sensor Networks Using Neural Networks","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2551510613","doi":"https://doi.org/10.1504/ijsnet.2015.10001254","mag":"2551510613"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijsnet.2015.10001254","pdf_url":null,"source":{"id":"https://openalex.org/S31905469","display_name":"International Journal of Sensor Networks","issn_l":"1748-1279","issn":["1748-1279","1748-1287"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5004578619","display_name":"Fereshteh Khorasani","orcid":null},"institutions":[],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Fereshteh Khorasani","raw_affiliation_strings":["Science and Research Branch, IAU, Kerman 93630, Iran"],"affiliations":[{"raw_affiliation_string":"Science and Research Branch, IAU, Kerman 93630, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055093461","display_name":"Hamid Reza Naji","orcid":"https://orcid.org/0000-0001-8422-2433"},"institutions":[{"id":"https://openalex.org/I183263030","display_name":"Graduate University of Advanced Technology","ror":"https://ror.org/0451xdy64","country_code":"IR","type":"funder","lineage":["https://openalex.org/I183263030"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid Reza Naji","raw_affiliation_strings":["College of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman 93630, Iran"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman 93630, Iran","institution_ids":["https://openalex.org/I183263030"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.59,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.773621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":85},"biblio":{"volume":"1","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9994,"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":0.9994,"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":0.9947,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9886,"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/data-aggregator","display_name":"Data aggregator","score":0.6944344},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.58339804}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8343563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234478},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.6944344},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6531556},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6036156},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.58339804},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.544878},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5288074},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.51702935},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4765147},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46487808},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37206063},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3650264},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3563351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15642881},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijsnet.2015.10001254","pdf_url":null,"source":{"id":"https://openalex.org/S31905469","display_name":"International Journal of Sensor Networks","issn_l":"1748-1279","issn":["1748-1279","1748-1287"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.91,"id":"https://metadata.un.org/sdg/7"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W1493144892","https://openalex.org/W1734287939","https://openalex.org/W1975461060","https://openalex.org/W1976863575","https://openalex.org/W1984866136","https://openalex.org/W2003753268","https://openalex.org/W2012476406","https://openalex.org/W2013593215","https://openalex.org/W2021836510","https://openalex.org/W2024003517","https://openalex.org/W2035378563","https://openalex.org/W2038031945","https://openalex.org/W2038420319","https://openalex.org/W2043765040","https://openalex.org/W2048927198","https://openalex.org/W2050680138","https://openalex.org/W2057275605","https://openalex.org/W2063943306","https://openalex.org/W2064421217","https://openalex.org/W2070876345","https://openalex.org/W2072506563","https://openalex.org/W2088010151","https://openalex.org/W2101804984","https://openalex.org/W2109865677","https://openalex.org/W2117412539","https://openalex.org/W2121930819","https://openalex.org/W2125369249","https://openalex.org/W2143761236","https://openalex.org/W2145571180","https://openalex.org/W2146170292","https://openalex.org/W2150801051","https://openalex.org/W2155864758","https://openalex.org/W2160225771","https://openalex.org/W2162062753","https://openalex.org/W2168452204","https://openalex.org/W2181322748","https://openalex.org/W2365762012","https://openalex.org/W2383155724","https://openalex.org/W4285719527","https://openalex.org/W77698745","https://openalex.org/W803648453"],"related_works":["https://openalex.org/W2951748633","https://openalex.org/W2897258045","https://openalex.org/W2765876229","https://openalex.org/W2355305037","https://openalex.org/W2072332896","https://openalex.org/W2063096972","https://openalex.org/W2057691131","https://openalex.org/W2049620986","https://openalex.org/W2018406690","https://openalex.org/W2002428578"],"abstract_inverted_index":{"Energy":[0],"efficiency":[1],"is":[2,66,135,144],"very":[3],"important":[4],"issue":[5],"in":[6,16,102,114,123],"wireless":[7],"sensor":[8],"networks":[9],"(WSNs).":[10],"In":[11],"WSN,":[12],"sensors":[13],"are":[14,43,100,112,121],"distributed":[15],"different":[17],"places,":[18],"where":[19],"they":[20],"can":[21],"be":[22],"exposed":[23],"to":[24],"contact":[25],"with":[26],"the":[27,37,40,69,74,79,108,130,142],"environment.":[28],"Data":[29],"aggregation,":[30],"eliminating":[31],"of":[32,39,104,132,141],"data":[33,42,80,133],"redundancy":[34],"and":[35,61,73,87,117,137],"improve":[36],"accuracy":[38],"collected":[41],"essential":[44],"points":[45],"for":[46],"these":[47],"networks.":[48],"This":[49],"research":[50],"has":[51],"been":[52],"suggested":[53],"some":[54],"algorithms":[55,77,91],"such":[56],"as":[57],"MEDA,":[58],"LMTBPN,":[59],"RBDA":[60],"RGDA.":[62],"The":[63],"first":[64],"algorithm":[65],"based":[67,81],"on":[68,82],"moment":[70],"estimation":[71],"method":[72],"other":[75],"three":[76],"aggregate":[78],"backward":[83],"propagation,":[84],"radial":[85],"basis":[86],"general":[88],"regression.":[89],"These":[90],"use":[92],"a":[93],"three-layer":[94],"neural":[95],"network.":[96],"Input":[97],"layer":[98,110,119],"neurons":[99,111,120],"located":[101,113,122],"members":[103],"each":[105],"cluster":[106,115],"while":[107],"hidden":[109],"heads":[116],"output":[118],"base":[124],"station.":[125],"Simulation":[126],"results":[127],"show":[128],"that":[129],"performance":[131],"aggregation":[134],"improved":[136],"also":[138],"energy":[139],"consumption":[140],"network":[143],"reduced.":[145]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2551510613","counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-04-15T23:45:59.078941","created_date":"2016-11-30"}