{"id":1247,"date":"2020-09-08T17:40:07","date_gmt":"2020-09-08T20:40:07","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1247"},"modified":"2021-10-19T15:30:41","modified_gmt":"2021-10-19T15:30:41","slug":"vol18-no1-art2","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/","title":{"rendered":"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition"},"content":{"rendered":"<p><strong><font size=\"+2\">Carmo, R.M., Tarrataca, L.<a href=\"http:\/\/orcid.org\/0000-0001-9359-5143\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>,\u00a0Colares, J.,\u00a0Henriques, F.R.<a href=\"http:\/\/orcid.org\/0000-0002-7221-7466\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Haddad, D.B.<span style=\"font-size: small\"><a href=\"http:\/\/orcid.org\/0000-0002-7634-5481\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>,\u00a0<\/span> Guedes, R.M.<\/font><\/strong><\/p>\n<p align=\"justify\"><strong>Abstract:\u00a0<\/strong>Wireless Sensor Networks (WSN) are of significant importance with increasingly diverse and viable\u00a0applications. They gained even more traction after the IEEE 802.15.4 standard was defined. Distributed adaptive\u00a0filtering algorithms have added statistical inference to WSN applications, employing techniques that extract data from\u00a0distributed devices. In contrast, most adaptive filtering contributions do not consider realistic features of the subjacent\u00a0telecommunications network protocols. Similarly, the telecommunications area typically does not take into account\u00a0interesting abilities of adaptive filtering algorithms. In this paper, we explore this gap between the two study areas,\u00a0allowing the development of network-protocol-aware distributed adaptive filtering techniques. In order to explore network\u00a0realistic behaviors, this paper focuses on distributed inference problems. More specifically, we propose two new\u00a0diffuse adaptive algorithms, aware of the characteristics of the Carrier Sense Multiple Access with Collision Avoidance\u00a0(CSMA\/CA) protocol, namely: (i) Variant Reuse of Coefficients Least Mean Squares (VRC-LMS) algorithm; and\u00a0the (ii) Reuse of Coefficients Least Mean Squares (RC-LMS) algorithm in the Adapt-Then-Combine (ATC) modality.\u00a0These two new algorithms will bring some advantages, specifically when information is delayed because of too much\u00a0packet loss. Another advantage will be the addition of the spatial information diversity contribution in the VRC-LMS algorithm.<\/p>\n<p><strong>Keywords:<\/strong> Distributed adaptive filtering, Spatial diversity, Wireless sensor networks, Telecommunication protocol.<\/p>\n<p><strong>DOI code:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol18-no1-art2\">10.21528\/lnlm-vol18-no1-art2<\/a><\/p>\n<p><strong>PDF file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/vol18-no1-art2.pdf\" rel=\"\">vol18-no1-art2.pdf<\/a><\/p>\n<p><strong>BibTex file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/vol18-no1-art2.bib\" rel=\"\">vol18-no1-art2.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Carmo, R.M., Tarrataca, L.,\u00a0Colares, J.,\u00a0Henriques, F.R., Haddad, D.B.,\u00a0 Guedes, R.M. Abstract:\u00a0Wireless Sensor Networks (WSN) are of significant importance with increasingly diverse and viable\u00a0applications. They gained even more traction after the IEEE 802.15.4 standard was defined. Distributed adaptive\u00a0filtering algorithms have added <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1232,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1247","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Carmo, R.M., Tarrataca, L.,\u00a0Colares, J.,\u00a0Henriques, F.R., Haddad, D.B.,\u00a0 Guedes, R.M. Abstract:\u00a0Wireless Sensor Networks (WSN) are of significant importance with increasingly diverse and viable\u00a0applications. They gained even more traction after the IEEE 802.15.4 standard was defined. Distributed adaptive\u00a0filtering algorithms have added Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta property=\"article:modified_time\" content=\"2021-10-19T15:30:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\",\"name\":\"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\",\"datePublished\":\"2020-09-08T20:40:07+00:00\",\"dateModified\":\"2021-10-19T15:30:41+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#primaryimage\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 18 &#8211; N\u00famero 1\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/","og_locale":"pt_BR","og_type":"article","og_title":"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models","og_description":"Carmo, R.M., Tarrataca, L.,\u00a0Colares, J.,\u00a0Henriques, F.R., Haddad, D.B.,\u00a0 Guedes, R.M. Abstract:\u00a0Wireless Sensor Networks (WSN) are of significant importance with increasingly diverse and viable\u00a0applications. They gained even more traction after the IEEE 802.15.4 standard was defined. Distributed adaptive\u00a0filtering algorithms have added Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/","og_site_name":"Learning and NonLinear Models","article_modified_time":"2021-10-19T15:30:41+00:00","og_image":[{"url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/","name":"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#primaryimage"},"image":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#primaryimage"},"thumbnailUrl":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg","datePublished":"2020-09-08T20:40:07+00:00","dateModified":"2021-10-19T15:30:41+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#primaryimage","url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg","contentUrl":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg"},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Browse issues","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/"},{"@type":"ListItem","position":2,"name":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 18 &#8211; N\u00famero 1","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/"},{"@type":"ListItem","position":3,"name":"Distributed Adaptive Filtering on Wireless Sensor Networks with Shared Medium Competition"}]},{"@type":"WebSite","@id":"https:\/\/sbia.org.br\/lnlm\/#website","url":"https:\/\/sbia.org.br\/lnlm\/","name":"Learning and NonLinear Models","description":"","publisher":{"@id":"https:\/\/sbia.org.br\/lnlm\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/sbia.org.br\/lnlm\/#organization","name":"Learning and NonLinear Models","url":"https:\/\/sbia.org.br\/lnlm\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/","url":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","contentUrl":"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png","width":398,"height":94,"caption":"Learning and NonLinear Models"},"image":{"@id":"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1247","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/comments?post=1247"}],"version-history":[{"count":1,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1247\/revisions"}],"predecessor-version":[{"id":1345,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1247\/revisions\/1345"}],"up":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/1232"}],"wp:attachment":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/media?parent=1247"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}