{"id":"https://openalex.org/W2783907644","doi":"https://doi.org/10.3233/978-1-61499-828-0-428","title":"A RBF Neural Network Based Data Aggregation Algorithm for Wireless Sensor Networks","display_name":"A RBF Neural Network Based Data Aggregation Algorithm for Wireless Sensor Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2783907644","doi":"https://doi.org/10.3233/978-1-61499-828-0-428","mag":"2783907644"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-828-0-428","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-828-0-428","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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":null,"display_name":"Wang Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437119","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0003-3317-3509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116360078","display_name":"Cao Yiquan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao Yiquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116360079","display_name":"Younn Geumran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Younn Geumran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116360080","display_name":"Kim Jeong-Uk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim Jeong-Uk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73000616,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9713000059127808,"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":0.9713000059127808,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/artificial-neural-network","display_name":"Artificial neural network","score":0.6799107193946838},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6780669689178467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6708526015281677},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4073808193206787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25913041830062866}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6799107193946838},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6780669689178467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708526015281677},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4073808193206787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25913041830062866}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-828-0-428","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-828-0-428","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,55,75],"wireless":[1,72],"sensor":[2,53,73],"networks":[3],"(WSNs),":[4],"the":[5,10,27,103,112,117,135,158],"massive":[6],"node":[7],"density":[8],"and":[9,33,49,123,132,157],"diverse":[11],"sensory":[12,19],"placement":[13],"will":[14,24,34],"produce":[15],"huge":[16],"amount":[17],"of":[18,29,37,52,119,160],"traffic":[20],"with":[21],"redundancy.":[22],"This":[23],"lead":[25],"to":[26,45,87,101,111,138],"decline":[28],"scarce":[30],"network":[31,66,83,152],"resources":[32],"decrease":[35],"lifetime":[36,51,153],"WSNs.":[38],"Data":[39],"aggregation":[40,69,162],"is":[41,84,149,154,163],"a":[42,60],"useful":[43],"way":[44],"save":[46],"energy":[47,147],"consumption":[48,148],"prolong":[50],"network.":[54],"this":[56,76],"paper,":[57],"we":[58],"propose":[59],"radial":[61],"basis":[62],"function":[63,118],"(RBF)":[64],"neural":[65,82],"based":[67],"data":[68,161],"algorithm":[70,168],"for":[71],"networks.":[74],"algorithm,":[77],"an":[78],"improved":[79,164],"three-layer":[80],"RBF":[81],"firstly":[85],"applied":[86],"each":[88,93],"cluster":[89,94,113,127],"where":[90],"nodes":[91],"in":[92,165],"are":[95,109],"used":[96],"as":[97],"input":[98],"layer":[99,121,125],"neuron":[100,122],"process":[102],"preliminary":[104],"data.":[105],"Secondly,":[106],"processing":[107,131],"results":[108,144],"transferred":[110],"head.":[114],"Based":[115],"on":[116],"hidden":[120],"output":[124],"neuron,":[126],"head":[128],"waits":[129],"further":[130],"finally":[133],"sends":[134],"characteristic":[136],"value":[137],"remote":[139],"sink":[140],"node.":[141],"Extensive":[142],"simulation":[143],"show":[145],"that":[146],"largely":[150],"reduced,":[151],"much":[155],"prolonged,":[156],"accuracy":[159],"our":[166],"proposed":[167],"than":[169],"some":[170],"other":[171],"popular":[172],"algorithms.":[173]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}