{"id":"https://openalex.org/W2726219182","doi":"https://doi.org/10.1109/iccw.2017.7962766","title":"Rate-distortion classification for self-tuning IoT networks","display_name":"Rate-distortion classification for self-tuning IoT networks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2726219182","doi":"https://doi.org/10.1109/iccw.2017.7962766","mag":"2726219182"},"language":"en","primary_location":{"id":"doi:10.1109/iccw.2017.7962766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2017.7962766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.08877","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064448036","display_name":"Davide Zordan","orcid":"https://orcid.org/0000-0003-3604-2678"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Zordan","raw_affiliation_strings":["Dept. of Information Engineering, Univ. of Padova, Padova, Italy","Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Univ. of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012618073","display_name":"Michele Rossi","orcid":"https://orcid.org/0000-0003-1121-324X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Rossi","raw_affiliation_strings":["Dept. of Information Engineering, Univ. of Padova, Padova, Italy","Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Univ. of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005894115","display_name":"Michele Zorzi","orcid":"https://orcid.org/0000-0003-2870-4678"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Zorzi","raw_affiliation_strings":["Dept. of Information Engineering, Univ. of Padova, Padova, Italy","Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, Univ. of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Padova, via Gradenigo 6/B, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05075811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"101","issue":null,"first_page":"857","last_page":"863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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":0.9901999831199646,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7358264923095703},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5842894911766052},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.568910539150238},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.549578070640564},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5304654836654663},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4995276927947998},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.496404230594635},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4796474575996399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43017494678497314},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.42408517003059387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35113221406936646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3419697880744934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32067590951919556},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21674421429634094},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15148627758026123},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09235846996307373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7358264923095703},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5842894911766052},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.568910539150238},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.549578070640564},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5304654836654663},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4995276927947998},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.496404230594635},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4796474575996399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43017494678497314},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.42408517003059387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35113221406936646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3419697880744934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32067590951919556},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21674421429634094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15148627758026123},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09235846996307373},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iccw.2017.7962766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2017.7962766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.08877","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.08877","pdf_url":"https://arxiv.org/pdf/1706.08877","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2726219182","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1706.08877.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3262458","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3262458","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1706.08877","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1706.08877","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.08877","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.08877","pdf_url":"https://arxiv.org/pdf/1706.08877","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2726219182.pdf","grobid_xml":"https://content.openalex.org/works/W2726219182.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1538729101","https://openalex.org/W1570982431","https://openalex.org/W1680392829","https://openalex.org/W1969995484","https://openalex.org/W2009082127","https://openalex.org/W2011452458","https://openalex.org/W2016927479","https://openalex.org/W2041785419","https://openalex.org/W2046788142","https://openalex.org/W2095409369","https://openalex.org/W2106335692","https://openalex.org/W2108777122","https://openalex.org/W2112208537","https://openalex.org/W2122825543","https://openalex.org/W2128209385","https://openalex.org/W2135046866","https://openalex.org/W2139587243","https://openalex.org/W2143426320","https://openalex.org/W2154043763","https://openalex.org/W2154888737","https://openalex.org/W2162800060","https://openalex.org/W2182052124","https://openalex.org/W2263055172","https://openalex.org/W2266336423","https://openalex.org/W6637386731","https://openalex.org/W6693511645"],"related_works":["https://openalex.org/W3177140588","https://openalex.org/W2642781647","https://openalex.org/W3111673039","https://openalex.org/W3212544770","https://openalex.org/W3109051940","https://openalex.org/W3058788517","https://openalex.org/W2980178892","https://openalex.org/W3003341680","https://openalex.org/W186921274","https://openalex.org/W2189061291","https://openalex.org/W3029325105","https://openalex.org/W2889454078","https://openalex.org/W2932702699","https://openalex.org/W3153068911","https://openalex.org/W3135285714","https://openalex.org/W3114775298","https://openalex.org/W836690559","https://openalex.org/W2263031416","https://openalex.org/W2952379102","https://openalex.org/W2107016378"],"abstract_inverted_index":{"The":[0],"Internet":[1],"of":[2,30,81,96,141,149,155],"Things,":[3],"like":[4],"many":[5],"future":[6],"wireless":[7],"sensor":[8,101],"networks,":[9],"is":[10,73,104,117],"expected":[11],"to":[12,147],"follow":[13],"a":[14,28,41,69,142,156],"software":[15,42],"defined":[16],"paradigm,":[17,98],"where":[18,75,106],"protocol":[19],"parameters":[20],"and":[21,110,128],"behaviors":[22],"will":[23,36],"be":[24,37,53,134],"dynamically":[25],"tuned":[26],"as":[27,40,56],"function":[29],"the":[31,57,76,82,93,107,113,139],"signal":[32,59,84,108],"statistics.":[33],"New":[34],"protocols":[35],"then":[38],"injected":[39],"when":[43],"certain":[44],"events":[45],"occur.":[46],"For":[47],"instance,":[48],"new":[49],"data":[50],"compressors":[51],"could":[52],"(re)programmed":[54],"on-the-fly":[55,137],"monitored":[58],"type":[60],"or":[61],"its":[62],"statistical":[63,150],"properties":[64],"change.":[65],"In":[66],"this":[67,97],"paper,":[68],"lossy":[70],"compression":[71],"scenario":[72],"considered,":[74],"application":[77],"tolerates":[78],"some":[79],"distortion":[80],"gathered":[83],"in":[85,111],"return":[86],"for":[87],"improved":[88],"energy":[89],"efficiency.":[90],"To":[91],"reap":[92],"full":[94],"benefits":[95],"an":[99],"automatic":[100],"profiling":[102],"approach":[103],"discussed,":[105],"class,":[109],"particular":[112],"corresponding":[114],"rate-distortion":[115],"curve,":[116],"automatically":[118],"assessed":[119],"using":[120],"machine":[121],"learning":[122],"tools":[123],"(namely,":[124],"support":[125],"vector":[126],"machines":[127],"neural":[129],"networks).":[130],"This":[131],"curve":[132],"can":[133],"reliably":[135],"estimated":[136],"through":[138],"computation":[140],"small":[143],"number":[144],"(from":[145],"ten":[146],"twenty)":[148],"features":[151],"on":[152],"time":[153],"windows":[154],"few":[157],"hundreds":[158],"samples.":[159]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
