65 research outputs found

    FESTIVAL: towards an intercontinental federation approach

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    In the last years, in both Europe and Japan, several initiatives have been started with the aim of building and testing Internet of Things and Smart ICT architectures and platforms to address specific domain issues through designed solutions. FESTIVAL EU-Japan collaborative project aims at federating these testbeds, making them interoperable, allowing centralized data collection and analyzing societal issues in both cultures, all of it under a user privacy-preserving context. In this sense, FESTIVAL pursues a twofold approach: firstly, the intercontinental federation of testbeds in Japan and Europe using existing tools as well as developing new ones; and secondly, the creation of new services and experiments, to be performed on top of the FESTIVAL testbeds and experimentation facilities, associated to three different smart city domains: smart energy, smart building and smart shopping. Throughout this article the current status of the project (in its first year) is shown, describing the Experimentation as a Service federation approach to be implemented, with a first analysis of the platforms and testbeds that are included within the project. Furthermore, the paper also describes the services and use cases that will be conducted within FESTIVAL lifespan. Finally, next steps to be carried out in the coming years of the project are indicated.This work was funded in part by the European Union’s Horizon 2020 Programme of the FESTIVAL project (Federated Interoperable Smart ICT Services Development and Testing Platforms) under grant agreement 643275, and from the Japanese National Institute of Information and Communications Technolog

    Overcoming the barriers of using linked open data in smart city applications

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    Accurate, reliable, and highly available data is one of the critical aspects of the proper development of a smart city. In this article, we study the benefits and challenges of using Linked Open Data in smart city applications highlighting their main adoption barriers like the lack of standardization, and the difficulties of publishing and consuming Open Data sources. Our research proposes a set of open-source, high-scalable, and mature tools to overcome these challenges, providing a complete description of how those components can be integrated to enable and improve the way to publish and consume Linked Open Data in the ecosystem of smart city applications and its technological enablers (IoT, Artificial Intelligence, etc.). Finally, we validate our proposal within the case of a public-rental bicycle system. The set of tools presented is agnostic to the field of application, thus, this case acts as a reference guide for other smart city applications.This research was funded by Programa Propio UPM and cofinanced by the Connection Europe Facility of the European Union under 2019-ES-IA0121 of the European Commission: Your Open Data

    A Framework for Service-Oriented Architecture (SOA)-Based IoT Application Development

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    Funding: This research was partially supported by funds provided by the European Commission in the scope of FoF/H2020-723710 vf-OS, ICT/H2020-825631 ZDMP projects, and by the FCT— Fundação para a Ciência e a Tecnologia in the scope of UIDB/00066/2020 related to CTS—Centro de Tecnologia e Sistemas research unit.In the last decades, the increasing complexity of industrial information technology has led to the emergence of new trends in manufacturing. Factories are using multiple Internet of Things (IoT) platforms to harvest sensor information to improve production. Such a transformation contributes to efficiency growth and reduced production costs. To deal with the heterogeneity of the services within an IoT system, Service-Oriented Architecture (SOA) is referred to in the literature as being advantageous for the design and development of software to support IoT-based production processes.The aim of SOA-based design is to provide the leverage to use and reuse loosely coupled IoT services at the middleware layer to minimise system integration problems. We propose a system architecture that follows the SOA architectural pattern and enables developers and business process designers to dynamically add, query or use instances of existing modular software in the IoT context. Furthermore, an analysis of utilization of modular software that presents some challenges and limitations of this approach is also in the scope of this workpublishersversionpublishe

    Smart Emission - Building a Spatial Data Infrastructure for an Environmental Citizen Sensor Network

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    Item does not contain fulltextSmart Emission is a citizen sensor network using low-cost sensors that enables citizens to gather data about environmental quality, like air quality, noise load, vibrations, light intensities and heat stress. This paper introduces the design and development of the data infrastructure for the Smart Emission initiative and discusses challenges for the future. The Spatial Data Infrastructure (SDI) is open and accessible on the Internet using open geospatial standards and (Web-) client applications. Smart Emission as a citizen sensor network offers several possibilities for heterogonous applications, from health determination to spatial planning purposes, environmental monitoring for sustainable traffic management, climate adaptation in cities and city planning.Geospatial Sensor Webs Conference 2016 (GSW 2016), 29 augustus 201

    An Internet of Things Platform for Air Station Remote Sensing and Smart Monitoring

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    Air pollution is currently receiving more attention by international governments and organizations. Nevertheless, current systems for air quality monitoring lack essential requirements which are key in order to be effective concerning users’ access to the information and efficient regarding real-time monitoring and notification. This paper presents an Internet of Things platform for air station remote sensing and smart monitoring that combines Big Data and Cloud Computing paradigms to process and correlate air pollutant concentrations coming from multiple remote stations, as well as to trigger automatic and personalized alerts when a health risk for their particular context is detected. This platform has been tested by analyzing the results of observing Andalusian, South of Spain, sensor network during a long period of time. The results show that this novel solution can help to reduce the impact of air pollution on human health since citizens are alerted in real time

    An inter-cloud bridge system for heterogeneous cloud platforms

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    Over the years, more cloud computing systems have been developed providing flexible interfaces for inter-cloud interaction. This work approaches the concept of inter-cloud by utilizing APIs, open source specifications and exposed interfaces from cloud platforms such as OpenStack, OpenNebula and others. Despite other works in the area of inter-cloud, that are mainly resource management-centric, we focus on designing and developing a service-centric architecture. We implement an inter-cloud bridge system that is elastic, easy to be upgraded and managed. We develop a prototype composed not only from heterogeneous cloud platforms but also from independent cloud services. These are developed by different cloud service providers and offered as open source Software as a Service (SaaS). The proposed Inter-Cloud Mediation Service uses Future Internet SaaS such as a Context Broker for registrations and subscriptions to services and a Complex Event Processing engine for event management. We present an experimental analysis to show interactions with various heterogeneous cloud platforms and we evaluate the performance of inter-cloud services separately and as a whole

    On the use of information and infrastructure technologies for the smart city research in Europe: a survey

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    The Smart City paradigm has become one of the most important research topics around the globe. Particularly in Europe, it is considered as a solution for unstoppable increase of high density urban environments and the European Commission has included the Smart City research as one of the key objectives for the FP7 (Seventh Framework Program) and H2020 (Horizon 2020) research initiatives. As a result, a considerable amount of quality research, with particular emphasis on information and communication technologies, has been produced. In this paper, we review the current efforts dedicated in Europe to this research topic. Particular attention is paid in the review to the platforms and infrastructure technologies adopted to introduce the Internet of Things into the city, taking into account the constraints and harshness of urban environments. Furthermore, this paper also considers the efforts in the experimental perspective, which includes the review of existing Smart City testbeds, part of wider European initiatives such as FIRE (Future Internet Research and Experimentation) and FIWARE. Last but not least, the main efforts in providing interoperability between the different experimental facilities are also presented.This work was funded in part by the European Union’s Horizon 2020 Programme of the FESTIVAL project (Federated Interoperable Smart ICT Services Development and Testing Platforms) under grant agreement 643275, and from the Japanese National Institute of Information and Communications Technology

    Interoperability in IoT

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    Interoperability refers to the ability of IoT systems and components to communicate and share information among them. This crucial feature is key to unlock all of the IoT paradigm´s potential, including immense technological, economic, and social benefits. Interoperability is currently a major challenge in IoT, mainly due to the lack of a reference standard and the vast heterogeneity of IoT systems. IoT interoperability has also a significant importance in big data analytics because it substantively eases data processing. This chapter analyzes the critical importance of IoT interoperability, its different types, challenges to face, diverse use cases, and prospective interoperability solutions. Given that it is a complex concept that involves multiple aspects and elements of IoT, for a deeper insight, interoperability is studied across different levels of IoT systems. Furthermore, interoperability is also re-examined from a global approach among platforms and systems.González-Usach, R.; Yacchirema-Vargas, DC.; Julián-Seguí, M.; Palau Salvador, CE. (2019). Interoperability in IoT. Handbook of Research on Big Data and the IoT. 149-173. http://hdl.handle.net/10251/150250S14917

    Framework for IoT Service Oriented Systems

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    The forth industrial revolution is here, and with it Industry 4.0, which translates in many changes to the industry. With the introduction of paradigms like Internet of Things, Cyber Physical Systems or Cloud Computing, the so called Smart Factories are becoming a main part of today’s manufacturing systems. The vf-OS Project, where this thesis falls, intends to be an Open Operating System for Virtual Factories where the overall network of a collaborative manufacturing and logistics environment can be managed and thus enabling humans, applications and devices to communicate and interoperate in an interconnected operative environment. This thesis intends to contribute to the vision that any kind of sensor or actuator plugged to the virtual factory network, becomes promptly accessible in the operative environment and the services that it provides can be accessed and used by any API composing the system. Finally, it also aims to prove that an IoT Service Oriented Sys-tem constituted of open software components can be of great assistance and provide numerous contributions to the emerging Industry 4.0 and consequently to the Factories of the Future. With that aim, this thesis will focus on the development of two out of five inter-connected applications that answer not only to different use case scenarios presented in the vf-OS but also provide solutions to answer a practical agriculture scenario, which uses mainly IoT devices and other cutting-edge technologies like cloud compu-ting and FIWARE

    Boosting IoT data valorization through the adoption of DLT

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    During the last decade Internet of Things has become one of the key technologies in supporting digital transformation of several ecosystems such urban or industry ones. The huge amount of data generated in such contexts as well as the imperative requirements in terms of trustworthiness, authenticity and integrity make compulsory the adoption of the proper solutions fitting those requirements. This paper presents the design, implementation and validation of a distributed ledger technology architecture emphasizing services linked to data valorization.This work is supported by the TOKEN Project: “Transformative Impact Of BlocKchain tEchnologies iN Public Services”, Grant Agreement 870603, belonging to the H2020 Framework Program. The authors want to acknowledge the valuable work carried out by the colleagues participating in this initiative
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