Defesa P\u00fablica da Disserta\u00e7\u00e3o de Mestrado do Engenheiro de Controle e Automa\u00e7\u00e3o T\u00falio Dapper e Silva<\/p>\n\n\n\n
Data: 16\/04\/2020 – quinta-feira
Hor\u00e1rio: 14h00min<\/p>\n\n\n\n
A defesa ser\u00e1 realizada atrav\u00e9s da plataforma MConf e ser\u00e1 transmitida pelo link:https:\/\/boxcast.tv\/view\/defesa-da-dissertao-de-mestrado—tulio-dapper-e-silva-606326<\/a><\/p>\n\n\n\n Banca examinadora: Title: “TOPOLOGY COORDINATION AND NETWORK MANAGEMENT OF UAV NETWORKS USING PARTICLE SWARM OPTIMIZATION AND SOFTWARE-DEFINED NETWORKING”<\/p>\n\n\n\n Abstract: Keywords: UAV Network, Topology Coordination, Particle Swarm Optimization, Network Management, Software Defined Networking.. “<\/p>\n","protected":false},"excerpt":{"rendered":" Defesa P\u00fablica da Disserta\u00e7\u00e3o de Mestrado do Engenheiro de Controle e Automa\u00e7\u00e3o T\u00falio Dapper e Silva Data: 16\/04\/2020 – quinta-feiraHor\u00e1rio: 14h00min A defesa ser\u00e1 realizada atrav\u00e9s da plataforma MConf e ser\u00e1 transmitida pelo link:https:\/\/boxcast.tv\/view\/defesa-da-dissertao-de-mestrado—tulio-dapper-e-silva-606326 Banca examinadora:Prof. Dr. Leandro Buss Becker – PPGEAS – UFSCProf. Dr. Ivan M\u00fcller – PPGEE – UFRGSProf. Dr. Aur\u00e9lio Tergolina Salton… Continue a ler »Defesa de Disserta\u00e7\u00e3o de Mestrado – T\u00falio Dapper e Silva<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[4],"tags":[],"class_list":["post-410","post","type-post","status-publish","format-standard","hentry","category-eventos"],"_links":{"self":[{"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/posts\/410","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/comments?post=410"}],"version-history":[{"count":0,"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/posts\/410\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/media?parent=410"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/categories?post=410"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgee\/wp-json\/wp\/v2\/tags?post=410"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Prof. Dr. Leandro Buss Becker – PPGEAS – UFSC
Prof. Dr. Ivan M\u00fcller – PPGEE – UFRGS
Prof. Dr. Aur\u00e9lio Tergolina Salton \u2013 PPGEE – UFRGS
Orientador: Prof. Dr. Edison Pignaton de Freitas – PPGEE – UFRGS<\/p>\n\n\n\n
“In recent years, with the growth in the use of Unmanned Aerial Vehicles (UAVs), UAV-based systems have become popular in both military and civil applications. The lack of reliable communication infrastructure in these scenarios has motivated the use of UAVs to establish a network as flying nodes, also known as UAV networks. However, the high mobility degree of flying and terrestrial users may be responsible for constant changes in nodes\u2019 positioning, which makes it more challenging to guarantee their communication during the operational time. In this context, this work presents a framework solution for topology coordination and network management of UAVs, which aims to establish and maintain a set of relays units in order to provide a constant, reliable and efficient communication link among user nodes – which are performing individual or collaborative missions on its turn. Such a framework relies on a set of topology coordination algorithms – including the Particle Swarm Optimization (PSO) evolutionary algorithm -,and also considers the use of Software-defined Networking-based (SDN) communication protocol for network management. For coordination proposes, a novel particle selection criteria is proposed, which aims to guarantee network manageability of UAV topology formations, therefore being able to guarantee service persistence in case of nodes\u2019 failure
occurrence, as well as to provide required network performance, as a consequence. Simulations performed in OMNeT++ show the efficiency of the proposed solution.<\/p>\n\n\n\n