Internet de las Cosas: Arquitecturas y Aplicaciones

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Artículos en la categoría Internet de las Cosas: Arquitecturas y Aplicaciones publicados en las Actas de las XV Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2019).
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  • Resumen
    An Autonomous-UAV Architecture for Remote Sensing and Intelligent Decision-making
    Boubeta-Puig, Juan; Moguel, Enrique; Sánchez-Figueroa, Fernando; Hernández Núñez, Juan María; Preciado, Juan Carlos. Actas de las XV Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2019), 2019-09-02.
    Recently, the US Department of Transportations Federal Aviation Administration and other international organizations have proposed a set of requirements for small unmanned aerial vehicles (UAVs) to operate for nonrecreational purposes. However, existing UAV architectures fulfill only some of the established requirements, and not all in one solution. This paper presents an unprecedented event-driven service-oriented architecture that allows autonomous UAVs to satisfy all these requirements and to detect critical situations, performing real-time decision making. The core of this architecture is based on the use of complex event processing (CEP) onboard. The results obtained involve advances in terms of the number of events processed per second, response time, ease of use for nontechnological users, and code reconfiguration before or during the UAV flight. These results have been validated by implementing the architecture.
  • Resumen
    COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things
    García de Prado Fontela, Alfonso; Ortiz, Guadalupe; Boubeta-Puig, Juan. Actas de las XV Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2019), 2019-09-02.
    Internet of Things (IoT) has radically transformed the world; currently, every device can be connected to the Internet and provide valuable information for decision-making. In spite of the fast evolution of technologies accompanying the grow of IoT, one of the remaining challenges in this scope is the design of a Service Oriented Architecture (SOA) for IoT, which facilitates the inclusion of data coming from several IoT devices as well the delivery of such data among system agents, real-time data processing and service provision to users. Furthermore, context-aware data processing and architec-tures still pose a challenge, regardless of being key requirements in order to get stronger IoT architectures. Besides, with the objective of sharing information across platforms, collaborative architectures for data sharing in the scope of the IoT are an essential re-quirement for giving additional value to any decision-making process. To sum up, IoT architectures should provide essential elements such as sensor devices, offered services, communication networks and event context processing; always promoting key features such as interoperability, reliability and scalability. To face this challenge, we propose a COLLaborative ConText Aware Service Ori-ented Architecture (COLLECT), which facilitates: (1) Implementing reliable collabo-ration among several nodes through a collaborative Event Driven SOA. (2) Ensuring system scalability and interoperability through the opportunity of federating Enterprise Service Buses (ESB) in the cloud and through distributed Complex Event Processing (CEP). (3) Facilitating the task of processing information and publishing and subscrib-ing to distributed complex events of interest in the context of the application.
  • Resumen
    Air4People: a Smart Air Quality Monitoring and Context-Aware Notification System
    García de Prado Fontela, Alfonso; Ortiz, Guadalupe; Boubeta-Puig, Juan; Corral-Plaza, David. Actas de las XV Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2019), 2019-09-02.
    Air quality is one of the key topics in the focus of Internet of Things (IoT) appli-cations and smart cities, since it plays an essential role for citizens nowadays and is currently a worldwide concern. Indeed, air pollution can seriously affect citi-zens’ health; particularly, air pollution may worsen and favour certain illnesses or even cause death to specific risk groups. The fact is that due to this worldwide concern, several IoT systems for air quality monitoring have been created over the last years. Nevertheless, the problem is that monitoring alone is not enough; it is necessary to ensure compliance with the following requirements: (1) air quali-ty information and alerts have to be updated in real time; (2) the information has to be actively provided to citizens in a user-friendly way; (3) the information provided to users, in particular to risks groups, needs to be adapted to their spe-cific features and (4) the system should also take into account the type of activity the user is going to be involved in and adapt notifications accordingly. Currently, most systems providing air quality information lack several of such key characteristics; as a result, information does not reach citizens in a sim-ple way and notifications neither consider citizens’ specific characteristics nor take their physical activity into account. In order to tackle these challenges effec-tively, and to pay special attention to context-awareness issues, we present Air4People: an air quality monitoring and context-aware notification system, which permits obtaining the user’s air quality relevant context, processing both the data coming from IoT air information sources and from the user context, and notifying users in real time when a health risk for their particular context is de-tected.
  • Artículo
    Estimación y Generación Temprana de Aplicaciones para la IoT
    Laso, Sergio; Berrocal, José Javier; García Alonso, José Manuel; Murillo Rodríguez, Juan Manuel; Flores-Martin, Daniel. Actas de las XV Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2019), 2019-09-02.
    La gran penetración y acogida que han tenido los dispositivos inteligentes ha fomentado el desarrollo de aplicaciones centradas en la Internet de las Cosas. Debido a los limitados recursos de estos dispositivos, estas aplicaciones tienen unos requisitos muy estrictos. El éxito o fracaso de estas aplicaciones depende en gran medida de cómo cumplen estos requisitos, siendo el consumo de recursos un aspecto crucial. El estilo arquitectónico aplicado influye en gran medida en este consumo. Sin embargo, la identificación temprana de qué estilo satisface los requisitos es todavía un proceso muy manual. En este artículo se detalla un conjunto de herramientas que permiten obtener el consumo de la aplicación desde una especificación a alto nivel y semi-automatizar la generación de la aplicación para distintos estilos desde una especificación OpenAPI, facilitando así la labor del desarrollador.