{"id":"https://openalex.org/W2120769353","doi":"https://doi.org/10.1109/ntms.2011.5720647","title":"A High Performance Neurocomputing Algorithm for Prediction Tasks in Wireless Sensor Networks","display_name":"A High Performance Neurocomputing Algorithm for Prediction Tasks in Wireless Sensor Networks","publication_year":2011,"publication_date":"2011-02-01","ids":{"openalex":"https://openalex.org/W2120769353","doi":"https://doi.org/10.1109/ntms.2011.5720647","mag":"2120769353"},"language":"en","primary_location":{"id":"doi:10.1109/ntms.2011.5720647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2011.5720647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th IFIP International Conference on New Technologies, Mobility and Security","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/A5036550765","display_name":"Jochen Rust","orcid":"https://orcid.org/0000-0002-1345-076X"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J Rust","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326624","display_name":"Xinwei Wang","orcid":"https://orcid.org/0000-0001-5393-1931"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xinwei Wang","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025077306","display_name":"R. Laur","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R Laur","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101959993","display_name":"Steffen Paul","orcid":"https://orcid.org/0000-0003-3392-0471"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S Paul","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM), University of Brethemen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Inst. for Electrodynamics & Microelectron. (ITEM), Univ. of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"xix","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.964900016784668,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.964900016784668,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9492999911308289,"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/T10320","display_name":"Neural Networks and Applications","score":0.9488000273704529,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7741096019744873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7468628287315369},{"id":"https://openalex.org/keywords/transceiver","display_name":"Transceiver","score":0.5344101190567017},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5320618748664856},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45716938376426697},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4496616721153259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.443684458732605},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4430179297924042},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42871588468551636},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37569212913513184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.266909658908844},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16543740034103394},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07683518528938293}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7741096019744873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468628287315369},{"id":"https://openalex.org/C7720470","wikidata":"https://www.wikidata.org/wiki/Q954187","display_name":"Transceiver","level":3,"score":0.5344101190567017},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5320618748664856},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45716938376426697},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4496616721153259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.443684458732605},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4430179297924042},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42871588468551636},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37569212913513184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.266909658908844},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16543740034103394},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07683518528938293},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ntms.2011.5720647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2011.5720647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th IFIP International Conference on New Technologies, Mobility and Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W9690362","https://openalex.org/W203615257","https://openalex.org/W1528140509","https://openalex.org/W2115776261","https://openalex.org/W2119479681","https://openalex.org/W2119549661","https://openalex.org/W2124776405"],"related_works":["https://openalex.org/W4249165909","https://openalex.org/W2783437851","https://openalex.org/W1672137312","https://openalex.org/W1650483958","https://openalex.org/W2320869333","https://openalex.org/W2744385696","https://openalex.org/W2040472248","https://openalex.org/W2184749983","https://openalex.org/W1689453141","https://openalex.org/W2393483060"],"abstract_inverted_index":{"The":[0],"impact":[1],"of":[2,19,94],"power":[3,28,109],"efficient":[4,120],"wireless":[5],"sensor":[6,22],"networks":[7],"(WSN)":[8],"is":[9,17,67,88,115],"getting":[10],"more":[11,13],"and":[12,102,124],"important,":[14],"as":[15,39,82],"it":[16],"built":[18],"battery":[20],"driven":[21],"nodes":[23],"(SN).":[24],"Beside":[25],"common":[26,131],"low":[27,108],"techniques":[29],"like":[30],"voltage":[31],"scaling,":[32],"variable-rate":[33],"sampling":[34,79],"(VRS)":[35],"has":[36],"been":[37],"exposed":[38],"an":[40,58],"adequate":[41,71],"possibility":[42],"to":[43,105,130],"minimize":[44],"the":[45,106,119],"transceiver":[46],"activity":[47],"[1].":[48],"In":[49],"this":[50],"paper":[51],"a":[52],"high":[53],"performance":[54],"algorithm":[55,103],"based":[56,89],"on":[57,90],"artificial":[59],"neural":[60],"network":[61],"structure":[62],"(ANN)":[63],"for":[64,76],"WSN":[65],"applications":[66],"presented":[68],"which":[69],"delivers":[70],"function":[72],"course":[73],"prediction,":[74],"necessary":[75],"most":[77],"precise":[78],"interval":[80],"adjustment":[81,95],"described":[83],"in":[84,97,118],"[2].":[85],"Our":[86],"approach":[87],"approximation":[91],"by":[92],"means":[93],"theory":[96],"detail":[98],"linear":[99],"regression":[100],"[3]":[101],"adaption":[104],"underlying":[107],"TelosB":[110],"SN":[111],"hardware":[112],"[4].":[113],"It":[114],"further":[116],"implemented":[117],"fixed-point":[121],"number":[122],"format,":[123],"its":[125],"experimental":[126],"results":[127],"are":[128],"compared":[129],"prediction":[132],"algorithms.":[133]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}