Made available in DSpace on 2014-12-17T14:55:18Z (GMT). No. of bitstreams: 1 ViniciusSVS_TESE.pdf: 2375594 bytes, checksum: e3d85d405a408eb605711ffd55dbe760 (MD5) Previous issue date: 2014-03-17 / The monitoring of patients performed in hospitals is usually done either in a manual or semiautomated way, where the members of the healthcare team must constantly visit the patients to ascertain the health condition in which they are. The adoption of this procedure, however, compromises the quality of the monitoring conducted since the shortage of physical and human resources in hospitals tends to overwhelm members of the healthcare team, preventing them from moving to patients with adequate frequency. Given this, many existing works in the literature specify alternatives aimed at improving this monitoring through the use of wireless networks. In these works, the network is only intended for data traffic generated by medical sensors and there is no possibility of it being allocated for the transmission of data from applications present in existing user stations in the hospital. However, in the case of hospital automation environments, this aspect is a negative point, considering that the data generated in such applications can be directly related to the patient monitoring conducted. Thus, this thesis defines Wi-Bio as a communication protocol aimed at the establishment of IEEE 802.11 networks for patient monitoring, capable of enabling the harmonious coexistence among the traffic generated by medical sensors and user stations. The formal specification and verification of Wi-Bio were made through the design and analysis of Petri net models. Its validation was performed through simulations with the Network Simulator 2 (NS2) tool. The simulations of NS2 were designed to portray a real patient monitoring environment corresponding to a floor of the nursing wards sector of the University Hospital Onofre Lopes (HUOL), located at Natal, Rio Grande do Norte. Moreover, in order to verify the feasibility of Wi-Bio in terms of wireless networks standards prevailing in the market, the testing scenario was also simulated under a perspective in which the network elements used the HCCA access mechanism described in the IEEE 802.11e amendment. The results confirmed the validity of the designed Petri nets and showed that Wi-Bio, in addition to presenting a superior performance compared to HCCA on most items analyzed, was also able to promote efficient integration between the data generated by medical sensors and user applications on the same wireless network / O monitoramento de pacientes realizado nos hospitais normalmente ? feito de forma manual ou semi-automatizada, em que os membros da equipe de sa?de precisam constantemente se deslocar at? os pacientes para verificarem o estado de sa?de em que eles se encontram. A ado??o desse procedimento, todavia, compromete a qualidade do monitoramento realizado, uma vez que a escassez de recursos f?sicos e humanos nos hospitais tende a sobrecarregar os membros da equipe de sa?de e assim impedir que os mesmos se desloquem aos pacientes com a freq??ncia adequada. Diante disso, diversos trabalhos existentes na literatura especificam alternativas voltadas ? melhoria desse monitoramento mediante o uso de redes sem fio. Nesses trabalhos, a rede ? destinada apenas ao tr?fego de dados gerados por sensores m?dicos e n?o existe a possibilidade da mesma ser alocada para o envio de informa??es oriundas de aplica??es presentes nas esta??es de usu?rio existentes no hospital. Todavia, em se tratando de ambientes de automa??o hospitalar, esse aspecto constitui-se em um ponto negativo, haja vista que os dados gerados nessas aplica??es podem estar diretamente relacionados ao monitoramento de pacientes realizado. Desse modo, esta tese define o Wi-Bio como sendo um protocolo de comunica??o voltado ao estabelecimento de redes de monitoramento de pacientes IEEE 802.11 capazes de permitir a conviv?ncia harmoniosa entre os tr?fegos gerados por sensores m?dicos e esta??es de usu?rio. A especifica??o e verifica??o formal do Wi-Bio foram feitas mediante o projeto e an?lise de modelos em redes de Petri e sua valida??o foi realizada atrav?s simula??es efetuadas na ferramenta Network Simulator 2 (NS2). As simula??es realizadas no NS2 foram projetadas para retratarem um ambiente real de monitoramento de pacientes correspondente a um andar do setor de enfermarias do Hospital Universit?rio Onofre Lopes (HUOL), localizado na cidade de Natal/RN. Al?m disso, no intuito de verificar a viabilidade do Wi-Bio quanto aos padr?es de redes sem fio vigentes no mercado, o cen?rio de testes tamb?m foi simulado sob uma perspectiva em que os elementos da rede utilizavam o mecanismo de acesso HCCA descrito na emenda IEEE 802.11e. Os resultados obtidos atestaram a validade das redes de Petri projetadas e mostraram que o Wi-Bio, al?m de apresentar um desempenho superior ao do HCCA na maioria dos quesitos analisados, tamb?m se mostrou capaz de promover uma integra??o eficiente entre os dados gerados por sensores m?dicos e aplica??es de usu?rio sob a mesma rede sem fio

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-04-03T19:47:16Z No. of bitstreams: 1 TalisonAugustoCorreiaDeMelo_DISSERT.pdf: 2029571 bytes, checksum: 673616a1cc8948fb5a2eee5aa45c9411 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-04-06T20:49:24Z (GMT) No. of bitstreams: 1 TalisonAugustoCorreiaDeMelo_DISSERT.pdf: 2029571 bytes, checksum: 673616a1cc8948fb5a2eee5aa45c9411 (MD5) / Made available in DSpace on 2017-04-06T20:49:25Z (GMT). No. of bitstreams: 1 TalisonAugustoCorreiaDeMelo_DISSERT.pdf: 2029571 bytes, checksum: 673616a1cc8948fb5a2eee5aa45c9411 (MD5) Previous issue date: 2016-12-29 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Redes de Sensores Sem Fio (RSSFs) t?m se tornado cada vez mais comuns e estudos sobre elas t?m aumentado bastante. Este tipo de rede ?, geralmente, formada por muitos n?s sensores, o que dificulta testes em ambientes reais. Os simuladores de rede, como o Network Simulator 2 (NS-2), t?m sido adotados para avaliar RSSF, entretanto, este tipo de simula??o no NS-2 pode n?o ser uma tarefa f?cil para os usu?rios. Deste modo, ferramentas t?m sido desenvolvidas para proporcionar facilidades de simula??o sobre o NS-2, como o WINSS (Wireless Network Sensor Simulator). WINSS ? uma solu??o para o projeto e testes de simula??es de RSSFs de acordo com o padr?o IEEE 802.15.4 no NS-2. Em fun??o das limita??es que a vers?o original do WINSS det?m, este trabalho tem como objetivo estender as funcionalidades desta ferramenta, adicionando a ela a possibilidade de trabalhar com: mobilidade dos n?s, falhas na rede, modo beacon habilitado e desabilitado, entre outras funcionalidades. O WINSS gera scripts de simula??o (scripts TCL) e permite a configura??o de aspectos importantes, como modelo de energia, modelo de n?s m?veis, modelo de propaga??o de r?dio e modelo de falha na rede. Ele fornece um ambiente integrado com NAM, XGRAPH e Gnuplot, ferramentas que complementam o NS-2, e gera resultados, como vaz?o, atraso, pacotes perdidos, pacotes recebidos e consumo de energia. / Wireless Sensor Networks (WSNs) have become increasingly common and studies on them have increased a lot. This type of network is generally formed by many sensor nodes that make testing hard in real environments. The network simulators, as the Network Simulator 2 (NS-2), have been adopted to evaluate WSN, however, this type of simulation in the NS-2 may not be an easy task for users. Thus, tools were developed to provide simulation facilities on the NS-2, such as WINSS (Wireless Network Sensor Simulator). WINSS is a solution for the design and tests of simulations of WSNs in accordance to the IEEE 802.15.4 standard on NS-2. Due to the limitations of the original version of WINSS, this work aims to extend the features of this tool, adding to it the possibility of working with: node mobility, network faults, beacon-enabled and non beacon-enabled mode, among other functionality. The WINSS generates simulation scripts (TCL scripts) and allows the configuration of important aspects such as energy model, mobile nodes model, radio propagation model and network fault model. It provides an integrated environment with NAM, XGRAPH and Gnuplot, tools that complement the NS-2, and generates results, like throughput, delay, packets loss, packets received and energy consumption.

The aim of this work is to become familiar with simulation environment Network Simulator 2, study the problems of sensor networks and their support in the simulator and implement the selected protocol and verify its funcitonality in a practical simulation.

Work is focused on wireless sensor networks.The main theme is the mobility and localization in these networks. This work describes different methods and capabilities of mobile and localization schemes. This work describes a new localization protocol for wireless sensor networks. Finally, there is included a new protocol in the simulation at Network Simulator 2 and evaluate the results obtained.