{"id":55701,"date":"2022-05-23T16:43:02","date_gmt":"2022-05-23T15:43:02","guid":{"rendered":"https:\/\/www.tk.etf.unsa.ba\/?p=55701"},"modified":"2022-06-27T22:48:21","modified_gmt":"2022-06-27T21:48:21","slug":"new-article-published-in-digital-communications-and-networks-journal","status":"publish","type":"post","link":"https:\/\/www.tk.etf.unsa.ba\/bs\/2022\/05\/new-article-published-in-digital-communications-and-networks-journal\/","title":{"rendered":"Objavljen rad u \u010dasopisu Digital Communications and Networks"},"content":{"rendered":"<section id=\"Abs1\" class=\"Abstract\" lang=\"en\" tabindex=\"-1\">\n<h1>Effects of sampling frequency on node mobility prediction in dynamic networks: A spectral view<\/h1>\n<p><!--more--><\/p>\n<section id=\"Abs1\" class=\"Abstract\" lang=\"en\" tabindex=\"-1\">\n<h4 lang=\"en\">Autori<\/h4>\n<ul class=\"test-contributor-names\">\n<li class=\"u-mb-2 u-pt-4 u-pb-4\">Peppino Fazio\n<ul class=\"test-contributor-names\">\n<li>DSMN, <span dir=\"ltr\" role=\"presentation\">Ca\u2019 Foscari University, Venice, Italy<\/span><\/li>\n<li><span class=\"authors__name\"><span class=\"affiliation__name\">VSB Tehni\u010dki unvierzitet u Ostravi, <\/span><span class=\"affiliation__city\">Ostrava-Poruba, <\/span><span class=\"affiliation__country\">\u010ce\u0161ka Republika<\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"https:\/\/www.tk.etf.unsa.ba\/bs\/osoblje\/mehic-miralem\/\"><span class=\"authors__name\"><strong>Miralem Mehic<\/strong><\/span><\/a>\n<ul class=\"test-contributor-names\">\n<li class=\"u-mb-2 u-pt-4 u-pb-4\"><span class=\"authors__name\"><span class=\"affiliation__country\">Odsjek za telekomunikacije, Univerzitet u Sarajevu, Sarajevo, Bosna i Hercegovina<\/span><\/span><\/li>\n<li><span class=\"authors__name\"><span class=\"affiliation__name\">VSB Tehni\u010dki unvierzitet u Ostravi, <\/span><span class=\"affiliation__city\">Ostrava-Poruba, <\/span><span class=\"affiliation__country\">\u010ce\u0161ka Republika<\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<li>Miroslav Voznak\n<ul class=\"test-contributor-names\">\n<li><span class=\"authors__name\"><span class=\"affiliation__name\">VSB Tehni\u010dki unvierzitet u Ostravi, <\/span><span class=\"affiliation__city\">Ostrava-Poruba, <\/span><span class=\"affiliation__country\">\u010ce\u0161ka Republika<\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4 class=\"Heading\">Sa\u017eetak<\/h4>\n<p id=\"Par1\" class=\"Para\">Podru\u010dje predikcije mobilnosti \u010dvori\u0161ta u telekomunikacijskim mre\u017eama spada u atraktivnu oblast zbog mogu\u0107nosti smanjenje radijusa pokrivenosti mobilnih \u0107elijskih mre\u017ea \u0161to dovedi do pove\u0107anja broja \u201chand-over\u201d doga\u0111aja koji karakteri\u0161u prelazak sa jedna bazne stanice na drugu. \u010cesta promjena pokrivenosti \u0107elijom, na primjer, mo\u017ee dovesti do prekida usluge ako se prediktivni pristup ne primjenjuje u sistemu. Iako je nekoliko radova ispitivalo predvi\u0111anje mobilnosti u mobilnim mre\u017eama nove generacije, sve ove studije su se fokusirale na prou\u010davanje vremenskih karakteristika tragova mobilnosti, a spektralni sadr\u017eaj historijskih obrazaca mobilnosti jo\u0161 uvek nije uzet u obzir za potrebe predvi\u0111anja. U ovoj studiji predla\u017een je novi pristup predvi\u0111anju mobilnosti analizom efekata odgovaraju\u0107e frekvencije uzorkovanja mobilnosti. Predlo\u017eeni pristup le\u017ei u analizi mobilnosti u frekvencijskom domenu, kako bi se izdvojile skrivene karakteristike procesa mobilnosti. Stoga smo predlo\u017eili novu metodologiju za odre\u0111ivanje spektralnog sadr\u017eaja tragova mobilnosti (koji se smatraju signalima) i, samim tim, odgovaraju\u0107e frekvencije uzorkovanja, \u0161to mo\u017ee pru\u017eiti brojne prednosti. Razmotrili smo nekoliko tipova modela mobilnosti (npr. pje\u0161a\u010dki, gradski i automobilski), koji sadr\u017ee va\u017ene detalje u vremenskom i frekvencijskom domenu. Provedene su simulacijske analize za uo\u010davanje i analiziranje karakteristika mobilnosti iz realnih mobilnih mre\u017ea te procijenili efekti frekvencije uzorkovanja na spektralni sadr\u017eaj.<\/p>\n<\/section>\n<div class=\"KeywordGroup\" lang=\"en\">\n<h4 class=\"Heading\">Klju\u010dne rije\u010di<\/h4>\n<div class=\"KeywordGroup\" lang=\"en\">\n<div id=\"kwrd0010\" class=\"keyword\">Mobile networking, Frequency domain, Mobility spectrum<\/div>\n<\/div>\n<h4>DOI<\/h4>\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.dcan.2022.05.008\"><i>10.1016\/j.dcan.2022.05.008<\/i><\/a><\/p>\n<h4><strong>URL<\/strong><\/h4>\n<p id=\"Abs1\" class=\"Abstract\" lang=\"en\" tabindex=\"-1\"><span class=\"eissn\">Article is available via url: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352864822000992\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352864822000992<\/a> <\/span><\/p>\n<h4 class=\"Abstract\" lang=\"en\" tabindex=\"-1\">Citation<\/h4>\n<p class=\"Abstract\" lang=\"en\" tabindex=\"-1\"><i>P. Fazio, <\/i><b><i>M.Mehic<\/i><\/b><i>, M.Voznak. \u201cEffects of sampling frequency on node mobility prediction in dynamic networks: A spectral view\u201d Digital Communications and Networks (2022), doi:<\/i> <a href=\"https:\/\/doi.org\/10.1016\/j.dcan.2022.05.008\"><i>doi.org\/10.1016\/j.dcan.2022.05.008<\/i><\/a><\/p>\n<h4><i><\/i><span class=\"eissn\">Journal Title<br \/>\n<\/span><\/h4>\n<p><span class=\"eissn\"><i>Digital Communications and Networks<\/i><\/span><\/p>\n<h4>ISSN: 23528648, 24685925<\/h4>\n<h4><span class=\"eissn\">Publisher<\/span><\/h4>\n<p><span class=\"eissn\">Elsevier<\/span><\/p>\n<h4><span class=\"eissn\">Impact Factor<br \/>\n<\/span><\/h4>\n<p><span class=\"eissn\">6.797 (2020)<\/span><\/p>\n<p><a title=\"SCImago Journal &amp; Country Rank\" href=\"https:\/\/www.scimagojr.com\/journalsearch.php?q=21100823476&amp;tip=sid&amp;exact=no\"><img decoding=\"async\" src=\"https:\/\/www.scimagojr.com\/journal_img.php?id=21100823476\" alt=\"SCImago Journal &amp; Country Rank\" border=\"0\" \/><\/a><\/p>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Objavljen rad u \u010dasopisu Digital Communications and Networks<\/p>\n","protected":false},"author":2,"featured_media":56577,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3,11,5],"tags":[9,8],"class_list":["post-55701","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-homepage-slides-english","category-naslovna-najavna-listanews-announcements","category-research","tag-publications","tag-research"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/posts\/55701","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/comments?post=55701"}],"version-history":[{"count":3,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/posts\/55701\/revisions"}],"predecessor-version":[{"id":56591,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/posts\/55701\/revisions\/56591"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/media\/56577"}],"wp:attachment":[{"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/media?parent=55701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/categories?post=55701"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/tags?post=55701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}