{"id":"https://openalex.org/W2311180362","doi":"https://doi.org/10.1109/comsnets.2016.7439991","title":"Energy efficient learning and classification for distributed sensing","display_name":"Energy efficient learning and classification for distributed sensing","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2311180362","doi":"https://doi.org/10.1109/comsnets.2016.7439991","mag":"2311180362"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets.2016.7439991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2016.7439991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","raw_type":"proceedings-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/A5011537290","display_name":"Christy Li","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christy Li","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA 15213"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353869","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-4510-2436"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054746425","display_name":"Pulkit Grover","orcid":"https://orcid.org/0000-0001-7651-7776"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pulkit Grover","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011537290"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.2895,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60307038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"400","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9994999766349792,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9994999766349792,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7816333770751953},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6742440462112427},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.593442440032959},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5579268932342529},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.531940758228302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4750537872314453},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4462950825691223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4235113561153412},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41627609729766846},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41419315338134766},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1392822265625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13170728087425232},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12190589308738708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07720637321472168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816333770751953},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6742440462112427},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.593442440032959},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5579268932342529},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.531940758228302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4750537872314453},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4462950825691223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4235113561153412},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41627609729766846},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41419315338134766},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1392822265625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13170728087425232},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12190589308738708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07720637321472168},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets.2016.7439991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2016.7439991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9200000166893005,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W60647347","https://openalex.org/W1496357020","https://openalex.org/W1554944419","https://openalex.org/W1562548584","https://openalex.org/W1597129499","https://openalex.org/W1700600349","https://openalex.org/W1914290054","https://openalex.org/W1971835972","https://openalex.org/W1996560278","https://openalex.org/W2021547642","https://openalex.org/W2024594469","https://openalex.org/W2038120455","https://openalex.org/W2065070128","https://openalex.org/W2068143054","https://openalex.org/W2078340048","https://openalex.org/W2100409538","https://openalex.org/W2112114220","https://openalex.org/W2112375889","https://openalex.org/W2112905930","https://openalex.org/W2115305054","https://openalex.org/W2116581300","https://openalex.org/W2125675750","https://openalex.org/W2149925546","https://openalex.org/W2156540265","https://openalex.org/W2160828669","https://openalex.org/W2166000183","https://openalex.org/W2478708596","https://openalex.org/W3142813499","https://openalex.org/W3215186461","https://openalex.org/W6602497512","https://openalex.org/W6635594410","https://openalex.org/W6637430234","https://openalex.org/W6660284192","https://openalex.org/W6676893240"],"related_works":["https://openalex.org/W2989915292","https://openalex.org/W1975451135","https://openalex.org/W2890570089","https://openalex.org/W2073793005","https://openalex.org/W3148968234","https://openalex.org/W145760256","https://openalex.org/W2028086369","https://openalex.org/W2141581111","https://openalex.org/W2111773953","https://openalex.org/W1510116864"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,18,34,62,114,125],"reduce":[3],"total":[4],"energy":[5,53,81,112,166],"communicated":[6],"by":[7,70,88],"distributed":[8],"sensors,":[9],"we":[10,44,58,150],"address":[11],"the":[12,15,25,29,64,72,76,95,106,122,128,143,158,161],"problem":[13,65],"where":[14],"recipient":[16],"wants":[17],"perform":[19],"supervised":[20,50],"learning":[21,51,105],"and":[22],"classification":[23,68],"on":[24,80,154],"data":[26,139,156],"received":[27],"from":[28,94],"sensors.":[30],"Restricting":[31],"our":[32],"attention":[33],"a":[35,146],"noiseless":[36],"communication":[37],"setting":[38],"under":[39,52,110],"simplistic":[40,90],"Gaussian":[41],"source":[42],"assumptions,":[43],"provide":[45,101],"algorithms":[46],"for":[47,104],"performing":[48],"this":[49],"limitations.":[54],"The":[55],"key":[56],"idea":[57],"bring":[59],"in":[60,74,83,87,137,164],"is":[61,85,135],"approximate":[63],"of":[66,108,160],"minimizing":[67,71],"error-probability":[69],"distortion":[73],"recovering":[75],"decision":[77],"variable.":[78],"Constraings":[79],"consumption":[82],"sensors":[84],"brought":[86],"using":[89],"circuit":[91],"models":[92],"inspired":[93],"Analog-to-Digital":[96],"Converter":[97],"(ADCs)":[98],"models.":[99],"We":[100],"an":[102],"algorithm":[103,124,144],"distribution-parameters":[107],"sensor-data":[109],"these":[111],"constraints":[113],"arrive":[115],"at":[116],"high-reliability":[117],"energy-allocation":[118,123],"strategies,":[119],"while":[120],"enabling":[121],"backtrack":[126],"when":[127,133],"underlying":[129],"distributions":[130],"change,":[131],"or":[132],"there":[134],"noise":[136],"sensed":[138],"that":[140],"can":[141],"push":[142],"towards":[145],"local":[147],"minimum.":[148],"Finally,":[149],"present":[151],"numerical":[152],"results":[153],"simulated":[155],"demonstrating":[157],"promise":[159],"proposed":[162],"techniques":[163],"reducing":[165],"consumption.":[167]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
