Defesa Pública da Dissertação de Mestrado do Engenheiro de Controle e Automação Túlio Dapper e Silva
Data: 16/04/2020 – quinta-feira
Horário: 14h00min
A defesa será realizada através da plataforma MConf e será 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 – UFSC
Prof. Dr. Ivan Müller – PPGEE – UFRGS
Prof. Dr. Aurélio Tergolina Salton – PPGEE – UFRGS
Orientador: Prof. Dr. Edison Pignaton de Freitas – PPGEE – UFRGS
Title: “TOPOLOGY COORDINATION AND NETWORK MANAGEMENT OF UAV NETWORKS USING PARTICLE SWARM OPTIMIZATION AND SOFTWARE-DEFINED NETWORKING”
Abstract:
“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’ 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’ failure
occurrence, as well as to provide required network performance, as a consequence. Simulations performed in OMNeT++ show the efficiency of the proposed solution.
Keywords: UAV Network, Topology Coordination, Particle Swarm Optimization, Network Management, Software Defined Networking.. “
