{"id":56715,"date":"2022-07-10T17:35:48","date_gmt":"2022-07-10T16:35:48","guid":{"rendered":"https:\/\/www.tk.etf.unsa.ba\/?p=56715"},"modified":"2026-02-27T09:21:31","modified_gmt":"2026-02-27T08:21:31","slug":"objavljen-rad-u-casopisu-ieee-systems-journal","status":"publish","type":"post","link":"https:\/\/www.tk.etf.unsa.ba\/bs\/2022\/07\/objavljen-rad-u-casopisu-ieee-systems-journal\/","title":{"rendered":"Objavljen rad u \u010dasopisu IEEE Systems Journal"},"content":{"rendered":"<p><\/p>\n<section id=\"Abs1\" class=\"Abstract\" lang=\"en\" tabindex=\"-1\">\n<h1>On the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban Networks<\/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\">In the current era of mobile communications and next-generation networks, mobility analysis has a key role in guaranteeing the quality of service\/experience in the available services. Although a vast amount of work has analyzed mobility from both analytic and stochastic points of view, much of it has focused on a time-based analysis and disregarded spectral features. In this article, we propose a method of analyzing the main features of mobility traces in the frequency domain and determining the possible relationships between typical mobility grades (in terms of average and maximum speed) and the required sampling frequencies. The collection and storage of mobility pattern samples when they are not required is impractical, and therefore, we attempt to demonstrate how mobility can be sampled to avoid information loss or oversampling (many works in the literature are based on a default sampling period of 1 s). The work also contributes with the proposal of a closed form for relating the sampling period and average moving speed with the spectral components. We conducted numerous simulations to confirm that, compared with classical sampling approaches that provide static behavior, it is possible to obtain a gain of about 35%\u201365% in the collected samples, with a negligible loss of accuracy in the reconstructed signal.<\/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\">\u00a0Adaptive algorithms , mobile computing , prediction methods , sampling methods , spectral analysis<\/div>\n<\/div>\n<h4>DOI<\/h4>\n<p><i><\/i><i><a href=\"https:\/\/doi.org\/10.1109\/JSYST.2022.3186640\" target=\"_blank\" rel=\"noopener\">10.1109\/JSYST.2022.3186640<\/a><\/i><\/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:\/\/ieeexplore.ieee.org\/document\/9823307\">https:\/\/ieeexplore.ieee.org\/document\/9823307 <\/a><\/span><\/p>\n<h4 class=\"Abstract\" lang=\"en\" tabindex=\"-1\">Citation<\/h4>\n<p class=\"Abstract\" lang=\"en\" tabindex=\"-1\"><i> P. Fazio, <b>M.Mehic<\/b>, M.Voznak. \u201cOn the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban Networks\u201d IEEE Systems Journal (2022), doi: <a href=\"https:\/\/doi.org\/10.1016\/j.dcan.2022.05.008\">doi.org\/<\/a><a href=\"https:\/\/doi.org\/10.1109\/JSYST.2022.3186640\">10.1109\/JSYST.2022.3186640 <\/a>SCIE Impact Factor: 4.802 (2021\/Q1)<\/i><i><\/i><\/p>\n<h4><i><\/i><span class=\"eissn\">Journal Title<br \/>\n<\/span><\/h4>\n<p><span class=\"eissn\">\u00a0IEEE Systems Journal<\/span><\/p>\n<h4><span class=\"eissn\">Publisher<\/span><\/h4>\n<p><span class=\"eissn\">IEEE<\/span><\/p>\n<h4><span class=\"eissn\">Impact Factor<br \/>\n<\/span><\/h4>\n<p><span class=\"eissn\">4.802 (2021)<\/span><\/p>\n<p><a title=\"SCImago Journal &amp; Country Rank\" href=\"https:\/\/www.scimagojr.com\/journalsearch.php?q=11300153734&amp;tip=sid&amp;exact=no\"><img decoding=\"async\" src=\"https:\/\/www.scimagojr.com\/journal_img.php?id=11300153734\" alt=\"SCImago Journal &amp; Country Rank\" border=\"0\" \/><\/a><\/p>\n<\/div>\n<\/section>\n<section id=\"Abs1\" class=\"Abstract\" lang=\"en\" tabindex=\"-1\">\n<h1>On the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban Networks<\/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\">In the current era of mobile communications and next-generation networks, mobility analysis has a key role in guaranteeing the quality of service\/experience in the available services. Although a vast amount of work has analyzed mobility from both analytic and stochastic points of view, much of it has focused on a time-based analysis and disregarded spectral features. In this article, we propose a method of analyzing the main features of mobility traces in the frequency domain and determining the possible relationships between typical mobility grades (in terms of average and maximum speed) and the required sampling frequencies. The collection and storage of mobility pattern samples when they are not required is impractical, and therefore, we attempt to demonstrate how mobility can be sampled to avoid information loss or oversampling (many works in the literature are based on a default sampling period of 1 s). The work also contributes with the proposal of a closed form for relating the sampling period and average moving speed with the spectral components. We conducted numerous simulations to confirm that, compared with classical sampling approaches that provide static behavior, it is possible to obtain a gain of about 35%\u201365% in the collected samples, with a negligible loss of accuracy in the reconstructed signal.<\/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\">\u00a0Adaptive algorithms , mobile computing , prediction methods , sampling methods , spectral analysis<\/div>\n<\/div>\n<h4>DOI<\/h4>\n<p><i><\/i><i><a href=\"https:\/\/doi.org\/10.1109\/JSYST.2022.3186640\" target=\"_blank\" rel=\"noopener\">10.1109\/JSYST.2022.3186640<\/a><\/i><\/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:\/\/ieeexplore.ieee.org\/document\/9823307\">https:\/\/ieeexplore.ieee.org\/document\/9823307 <\/a><\/span><\/p>\n<h4 class=\"Abstract\" lang=\"en\" tabindex=\"-1\">Citation<\/h4>\n<p class=\"Abstract\" lang=\"en\" tabindex=\"-1\"><i> P. Fazio, <b>M.Mehic<\/b>, M.Voznak. \u201cOn the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban Networks\u201d IEEE Systems Journal (2022), doi: <a href=\"https:\/\/doi.org\/10.1016\/j.dcan.2022.05.008\">doi.org\/<\/a><a href=\"https:\/\/doi.org\/10.1109\/JSYST.2022.3186640\">10.1109\/JSYST.2022.3186640 <\/a>SCIE Impact Factor: 4.802 (2021\/Q1)<\/i><i><\/i><\/p>\n<h4><i><\/i><span class=\"eissn\">Journal Title<br \/>\n<\/span><\/h4>\n<p><span class=\"eissn\">\u00a0IEEE Systems Journal<\/span><\/p>\n<h4><span class=\"eissn\">Publisher<\/span><\/h4>\n<p><span class=\"eissn\">IEEE<\/span><\/p>\n<h4><span class=\"eissn\">Impact Factor<br \/>\n<\/span><\/h4>\n<p><span class=\"eissn\">4.802 (2021)<\/span><\/p>\n<p><a title=\"SCImago Journal &amp; Country Rank\" href=\"https:\/\/www.scimagojr.com\/journalsearch.php?q=11300153734&amp;tip=sid&amp;exact=no\"><img decoding=\"async\" src=\"https:\/\/www.scimagojr.com\/journal_img.php?id=11300153734\" alt=\"SCImago Journal &amp; Country Rank\" border=\"0\" \/><\/a><\/p>\n<\/div>\n<\/section>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Objavljen rad u \u010dasopisu IEEE Systems Journal<\/p>\n","protected":false},"author":2,"featured_media":56716,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3,184,11,5],"tags":[9,8],"class_list":["post-56715","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-homepage-slides-english","category-ltu_lab","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\/56715","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=56715"}],"version-history":[{"count":3,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/posts\/56715\/revisions"}],"predecessor-version":[{"id":56719,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/posts\/56715\/revisions\/56719"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/media\/56716"}],"wp:attachment":[{"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/media?parent=56715"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/categories?post=56715"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tk.etf.unsa.ba\/bs\/wp-json\/wp\/v2\/tags?post=56715"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}