804 resultados para arduino risparmio energetico wireless sensor network


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La progressiva reducció de dimensió i cost en els dispositius electrònics, la dràstica retallada de consum elèctric i la independència de què això els dota han fet créixer en els últims temps l'interès de les comunitats científiques i tecnològiques per les xarxes sense fils de petits dispositius. Per altra banda, l'XML (eXtensible Markup Language) és un metallenguatge extensible que ha esdevingut un estàndard per a l'intercanvi d'informació estructurada entre diferents plataformes. L'objectiu d'aquest treball és explorar les possibilitats que pot oferir la introducció de l'XML en les xarxes de sensors amb l'elaboració d'un protocol de comunicació basat en aquest llenguatge i demostrar la transparència en el canvi de plataforma. Per fer-ho, es disposa de dos dispositius amb capacitat de comunicació sense fils equipats amb detectors de temperatura, lluminositat, efecte Hall i nivell de càrrega de la bateria. El projecte constarà de dues parts: una, més extensa, dedicada al desenvolupament del programari per a aquests dispositius, encarregat de obtenir les lectures dels diferents sensors i emetre-les per la xarxa utilitzant el llenguatge XML, i una altra, per recollir aquesta informació present a la xarxa, interpretar-la, salvar-la en una base de dades i exposar-la al món en una plana web. El programari dels dispositius sensors s'escriurà en llenguatge nesC dins el sistema tinyOS que és el sistema operatiu que equipen. La part d'explotació de les dades es desenvoluparà sota la plataforma .NET de Microsoft.

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TinyDomus es un proyecto desarrollado para el TFC Sistemas Empotrados. Utiliza la plataforma TinyOS para gestionar una red inalámbrica de sensores (motas COU), que nos permitirán monitorizar ciertos aspectos físicos (picos magnéticos), y ambientales (temperatura y luminosidad). La funcionalidad de TinyDomus es la de simular un hogar domótico. Para ello dispone de una aplicación de escritorio con la que podemos visualizar la información de los sensores de las motas, controlar el funcionamiento del sistema y solicitar información a la red de sensores.

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Aquest projecte estudia la implementació d’un sistema de localització híbrid amb la combinació del posicionament GPS y el posicionament obtingut mitjançant mesures de potència rebuda (RSS) utilitzant una xarxa de sensors sense fils (WSN). Inicialment s’analitzen les característiques principals de les WSN y les tècniques de posicionament GPS y RSS. A continuació es proposen tècniques de localització híbrides que combinen el posicionament bàsic brindat per la WSN (GPS y RSS)per obtenir posicionament tant en escenaris interiors com exteriors a més d’obtenir una precisió major que les precisions bàsiques. Una vegada s’han analitzat els conceptes bàsics y s’han proposat les tècniques a utilitzar en el sistema de localització híbrida s’expliquen els aspectes d’implementació relacionats amb la programació de la WSN. Finalment, després d’analitzar els resultats de diverses mesures, queda present la necessitat de tècniques d’estimació d’error en el posicionament, per això es proposa una tècnica d’estimació d’error per ser utilitzada en les estimacions híbrides y obtenir així el funcionament desitjat de les tècniques híbrides.

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Today's networked systems are becoming increasingly complex and diverse. The current simulation and runtime verification techniques do not provide support for developing such systems efficiently; moreover, the reliability of the simulated/verified systems is not thoroughly ensured. To address these challenges, the use of formal techniques to reason about network system development is growing, while at the same time, the mathematical background necessary for using formal techniques is a barrier for network designers to efficiently employ them. Thus, these techniques are not vastly used for developing networked systems. The objective of this thesis is to propose formal approaches for the development of reliable networked systems, by taking efficiency into account. With respect to reliability, we propose the architectural development of correct-by-construction networked system models. With respect to efficiency, we propose reusable network architectures as well as network development. At the core of our development methodology, we employ the abstraction and refinement techniques for the development and analysis of networked systems. We evaluate our proposal by employing the proposed architectures to a pervasive class of dynamic networks, i.e., wireless sensor network architectures as well as to a pervasive class of static networks, i.e., network-on-chip architectures. The ultimate goal of our research is to put forward the idea of building libraries of pre-proved rules for the efficient modelling, development, and analysis of networked systems. We take into account both qualitative and quantitative analysis of networks via varied formal tool support, using a theorem prover the Rodin platform and a statistical model checker the SMC-Uppaal.

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A wireless sensor network (WSN) is a group of sensors linked by wireless medium to perform distributed sensing tasks. WSNs have attracted a wide interest from academia and industry alike due to their diversity of applications, including home automation, smart environment, and emergency services, in various buildings. The primary goal of a WSN is to collect data sensed by sensors. These data are characteristic of being heavily noisy, exhibiting temporal and spatial correlation. In order to extract useful information from such data, as this paper will demonstrate, people need to utilise various techniques to analyse the data. Data mining is a process in which a wide spectrum of data analysis methods is used. It is applied in the paper to analyse data collected from WSNs monitoring an indoor environment in a building. A case study is given to demonstrate how data mining can be used to optimise the use of the office space in a building.

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The content of this paper is a snapshot of a current project looking at producing a real-time sensor-based building assessment tool, and a system that personalises workspaces using multi-agent technology. Both systems derive physical environment information from a wireless sensor network that allows clients to subscribe to real-time sensed data. The principal ideologies behind this project are energy efficiency and well-being of occupants; in the context of leveraging the current state-of-the-art in agent technology, wireless sensor networks and building assessment systems to enable the optimisation and assessment of buildings. Participants of this project are from both industry (construction and research) and academia.

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The content of this paper is a snapshot of a current project looking at producing a real-time sensor-based building assessment tool, and a system that personalises work-spaces using multi-agent technology. Both systems derive physical environment information from a wireless sensor network that allows clients to subscribe to real-time sensed data. The principal ideologies behind this project are energy efficiency and well-being of occupants; in the context of leveraging the current state-of-the-art in agent technology, wireless sensor networks and building assessment systems to enable the optimisation and assessment of buildings. Participants of this project are from both industry (construction and research) and academia.

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The cloud is playing a very important role in wireless sensor network, crowd sensing and IoT data collection and processing. However, current cloud solutions lack of some features that hamper the innovation a number of other new services. We propose a cloud solution that provides these missing features as multi-cloud and device multi-tenancy relying in a whole different fully distributed paradigm, the actor model.

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As redes de sensores sem fios (WSN- WSN-Wireless Sensor Network) utilizam um grande número de dispositivos sem fios (sensores), que são de baixo custo e equipados com interfaces wireless. Utilizam um conjunto de sensores autónomos que colaboram entre si para efectuar a monitorização das condições ambientais, tais como: temperatura, oxigénio, luz, humidade, pressão, gases poluentes, entre outras. Estas redes podem operar durante largos períodos de tempo, sem intervenção humana, sendo que esse tempo depende do nível de bateria desses nós. De modo a que os gestores de um Museu possam gerir de forma mais adequada as obras de arte e arquivos históricos, surge o projecto WISE-MUSE – Environmental Monitoring based on Wireless Sensor Networks, que permite implementar soluções para a monitorização museológica, com a utilização de redes de sensores sem fios. Actualmente, a colaboração entre o utilizador e a WSN é muito ténue, sendo que apenas existe colaboração entre os nós sensores. De forma a aumentar esta colaboração, e no âmbito do projecto WISE-MUSE surge o CWSN – Collaborative Wireless Sensor Network Model, que define um modelo de colaboração na rede de sensores sem fios, permitindo a utilização de sessões colaborativas para a monitorização da rede. Com o intuito de obter o máximo rendimento da rede, é necessário definir qual o deployment a utilizar. O tipo de deployment de uma WSN é a forma como os nós são distribuídos pela rede. Em zonas longínquas, ou de difícil acesso, os nós são colocados de forma aleatória, por exemplo, caiem de um avião. Nos locais de fácil acesso, podem ser colocados no local exacto. Portanto, este projecto de Mestrado de Engenharia Informática apresenta duas contribuições principais: (i) um estudo de propagação no Museu da Baleia; e; (ii) o WISE-MANager, um sistema de gestão de sessões colaborativas. De forma a definir qual o deployment da rede a instalar no Museu da Baleia, será apresentado um estudo de propagação do sinal empírico, que determinou a melhor posição física dos nós, para que a rede tenha uma boa performance. O sistema WISE-MANager permite a criação, monitorização e gestão de sessões colaborativas numa WSN baseada no protocolo Zigbee. O intuito da utilização de sessões colaborativas é proporcionar uma melhor interacção entre o utilizador e a WSN, visto que o utilizador pode personalizar o tipo de monitorização a efectuar (por nó sensor, por fenómeno ou por intervalo de tempo), e interrogar à rede e aos seus componentes, aumentando assim a flexibilidade da WSN.A gestão de redes de sensores sem fios é muito importante para que o utilizador tenha controlo sobre a mesma ao saber quais os dispositivos da rede, assim como o seu nível de energia. Por tanto, através de WISE-MANager, os gestores do Museu serão capazes de analisar a rede, detectar eventuais problemas e obter parâmetros específicos.

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The Wireless Sensor Networks (WSN) methods applied to the lifting of oil present as an area with growing demand technical and scientific in view of the optimizations that can be carried forward with existing processes. This dissertation has as main objective to present the development of embedded systems dedicated to a wireless sensor network based on IEEE 802.15.4, which applies the ZigBee protocol, between sensors, actuators and the PLC (Programmable Logic Controller), aiming to solve the present problems in the deployment and maintenance of the physical communication of current elevation oil units based on the method Plunger-Lift. Embedded systems developed for this application will be responsible for acquiring information from sensors and control actuators of the devices present at the well, and also, using the Modbus protocol to make this network becomes transparent to the PLC responsible for controlling the production and delivery information for supervisory SISAL

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The greater part of monitoring onshore Oil and Gas environment currently are based on wireless solutions. However, these solutions have a technological configuration that are out-of-date, mainly because analog radios and inefficient communication topologies are used. On the other hand, solutions based in digital radios can provide more efficient solutions related to energy consumption, security and fault tolerance. Thus, this paper evaluated if the Wireless Sensor Network, communication technology based on digital radios, are adequate to monitoring Oil and Gas onshore wells. Percent of packets transmitted with successful, energy consumption, communication delay and routing techniques applied to a mesh topology will be used as metrics to validate the proposal in the different routing techniques through network simulation tool NS-2

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This dissertation aims to develop a software applied to a communication system for a wireless sensor network (WSN) for tracking analog and digital variables and control valve of the gas flow in artificial oil s elevation units, Plunger Lift type. The reason for this implementation is due to the fact that, in the studied plant configuration, the sensors communicate with the PLC (Programmable and Logic Controller) by the cables and pipelines, making any changes in that system, such as changing the layout of it, as well as inconveniences that arise from the nature of the site, such as the vicinity s animals presence that tend to destroy the cables for interconnection of sensors to the PLC. For software development, was used communication polling method via SMAC protocol (Simple Medium Access ControlIEEE 802.15.4 standard) in the CodeWarrior environment to which generated a firmware, loaded into the WSN s transceivers, present in the kit MC13193-EVK, (all items described above are owners of Freescale Semiconductors Inc.). The network monitoring and parameterization used in its application, was developed in LabVIEW software from National Instruments. The results were obtained through the observation of the network s behavior of sensors proposal, focusing on aspects such as: indoor and outdoor quantity of packages received and lost, general aspects of reliability in data transmission, coexistence with other types of wireless networks and power consumption under different operating conditions. The results were considered satisfactory, which showed the software efficiency in this communication system

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The use of wireless sensor and actuator networks in industry has been increasing past few years, bringing multiple benefits compared to wired systems, like network flexibility and manageability. Such networks consists of a possibly large number of small and autonomous sensor and actuator devices with wireless communication capabilities. The data collected by sensors are sent directly or through intermediary nodes along the network to a base station called sink node. The data routing in this environment is an essential matter since it is strictly bounded to the energy efficiency, thus the network lifetime. This work investigates the application of a routing technique based on Reinforcement Learning s Q-Learning algorithm to a wireless sensor network by using an NS-2 simulated environment. Several metrics like energy consumption, data packet delivery rates and delays are used to validate de proposal comparing it with another solutions existing in the literature

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Research on Wireless Sensor Networks (WSN) has evolved, with potential applications in several domains. However, the building of WSN applications is hampered by the need of programming in low-level abstractions provided by sensor OS and of specific knowledge about each application domain and each sensor platform. We propose a MDA approach do develop WSN applications. This approach allows domain experts to directly contribute in the developing of applications without needing low level knowledge on WSN platforms and, at the same time, it allows network experts to program WSN nodes to met application requirements without specific knowledge on the application domain. Our approach also promotes the reuse of the developed software artifacts, allowing an application model to be reused across different sensor platforms and a platform model to be reused for different applications

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Pós-graduação em Engenharia Elétrica - FEB