4,878 research outputs found

    Enabling stream processing for people-centric IoT based on the fog computing paradigm

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    The world of machine-to-machine (M2M) communication is gradually moving from vertical single purpose solutions to multi-purpose and collaborative applications interacting across industry verticals, organizations and people - A world of Internet of Things (IoT). The dominant approach for delivering IoT applications relies on the development of cloud-based IoT platforms that collect all the data generated by the sensing elements and centrally process the information to create real business value. In this paper, we present a system that follows the Fog Computing paradigm where the sensor resources, as well as the intermediate layers between embedded devices and cloud computing datacenters, participate by providing computational, storage, and control. We discuss the design aspects of our system and present a pilot deployment for the evaluating the performance in a real-world environment. Our findings indicate that Fog Computing can address the ever-increasing amount of data that is inherent in an IoT world by effective communication among all elements of the architecture

    A Case for Time Slotted Channel Hopping for ICN in the IoT

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    Recent proposals to simplify the operation of the IoT include the use of Information Centric Networking (ICN) paradigms. While this is promising, several challenges remain. In this paper, our core contributions (a) leverage ICN communication patterns to dynamically optimize the use of TSCH (Time Slotted Channel Hopping), a wireless link layer technology increasingly popular in the IoT, and (b) make IoT-style routing adaptive to names, resources, and traffic patterns throughout the network--both without cross-layering. Through a series of experiments on the FIT IoT-LAB interconnecting typical IoT hardware, we find that our approach is fully robust against wireless interference, and almost halves the energy consumed for transmission when compared to CSMA. Most importantly, our adaptive scheduling prevents the time-slotted MAC layer from sacrificing throughput and delay

    Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

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    Optimization of energy consumption in future intelligent energy networks (or Smart Grids) will be based on grid-integrated near-real-time communications between various grid elements in generation, transmission, distribution and loads. This paper discusses some of the challenges and opportunities of communications research in the areas of smart grid and smart metering. In particular, we focus on some of the key communications challenges for realizing interoperable and future-proof smart grid/metering networks, smart grid security and privacy, and how some of the existing networking technologies can be applied to energy management. Finally, we also discuss the coordinated standardization efforts in Europe to harmonize communications standards and protocols.Comment: To be published in IEEE Communications Surveys and Tutorial

    Cost-Effective Implementation of a Temperature Traceability System Based on Smart RFID Tags and IoT Services

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    [EN] This paper presents the design and validation of a traceability system, based on radio frequency identification (RFID) technology and Internet of Things (IoT) services, intended to address the interconnection and cost-implementation problems typical in traceability systems. The RFID layer integrates temperature sensors into RFID tags, to track and trace food conditions during transportation. The IoT paradigm makes it possible to connect multiple systems to the same platform, addressing interconnection problems between different technology providers. The cost-implementation issues are addressed following the Data as a Service (DaaS) billing scheme, where users pay for the data they consume and not the installed equipment, avoiding the big initial investment that these high-tech solutions commonly require. The developed system is validated in two case scenarios, one carried out in controlled laboratory conditions, monitoring chopped pumpkin. 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A Review on Agri-food Supply Chain Traceability by Means of RFID Technology. Food and Bioprocess Technology, 6(2), 353-366. doi:10.1007/s11947-012-0958-7Mainetti, L., Mele, F., Patrono, L., Simone, F., Stefanizzi, M. L., & Vergallo, R. (2013). An RFID-Based Tracing and Tracking System for the Fresh Vegetables Supply Chain. International Journal of Antennas and Propagation, 2013, 1-15. doi:10.1155/2013/531364Figorilli, S., Antonucci, F., Costa, C., Pallottino, F., Raso, L., Castiglione, M., … Menesatti, P. (2018). A Blockchain Implementation Prototype for the Electronic Open Source Traceability of Wood along the Whole Supply Chain. Sensors, 18(9), 3133. doi:10.3390/s18093133Aguzzi, J., Sbragaglia, V., Sarriá, D., García, J. A., Costa, C., Río, J. del, … Sardà, F. (2011). A New Laboratory Radio Frequency Identification (RFID) System for Behavioural Tracking of Marine Organisms. Sensors, 11(10), 9532-9548. doi:10.3390/s111009532Donelli, M. (2018). An RFID-Based Sensor for Masonry Crack Monitoring. Sensors, 18(12), 4485. doi:10.3390/s18124485De Souza, P., Marendy, P., Barbosa, K., Budi, S., Hirsch, P., Nikolic, N., … Davie, A. (2018). Low-Cost Electronic Tagging System for Bee Monitoring. Sensors, 18(7), 2124. doi:10.3390/s18072124Corchia, L., Monti, G., & Tarricone, L. (2019). A Frequency Signature RFID Chipless Tag for Wearable Applications. Sensors, 19(3), 494. doi:10.3390/s19030494Zuffanelli, S., Aguila, P., Zamora, G., Paredes, F., Martin, F., & Bonache, J. (2016). A High-Gain Passive UHF-RFID Tag with Increased Read Range. Sensors, 16(7), 1150. doi:10.3390/s16071150Monteleone, S., Sampaio, M., & Maia, R. F. (2017). A novel deployment of smart Cold Chain system using 2G-RFID-Sys temperature monitoring in medicine Cold Chain based on Internet of Things. 2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). doi:10.1109/soli.2017.8120995Zou, Z., Chen, Q., Uysal, I., & Zheng, L. (2014). Radio frequency identification enabled wireless sensing for intelligent food logistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2017), 20130313. doi:10.1098/rsta.2013.0313Azzarelli, J. M., Mirica, K. A., Ravnsbæk, J. B., & Swager, T. M. (2014). Wireless gas detection with a smartphone via rf communication. Proceedings of the National Academy of Sciences, 111(51), 18162-18166. doi:10.1073/pnas.1415403111Pies, M., Hajovsky, R., & Ozana, S. (2014). Wireless measurement of carbon monoxide concentration. 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014). doi:10.1109/iccas.2014.6987843Azzara, A., Bocchino, S., Pagano, P., Pellerano, G., & Petracca, M. (2013). Middleware solutions in WSN: The IoT oriented approach in the ICSI project. 2013 21st International Conference on Software, Telecommunications and Computer Networks - (SoftCOM 2013). doi:10.1109/softcom.2013.6671886Ribeiro, A. R. L., Silva, F. C. S., Freitas, L. C., Costa, J. C., & Francês, C. R. (2005). SensorBus. Proceedings of the 3rd international IFIP/ACM Latin American conference on Networking - LANC ’05. doi:10.1145/1168117.1168119Sulc, V., Kuchta, R., & Vrba, R. (2010). IQRF Smart House - A Case Study. 2010 Third International Conference on Advances in Mesh Networks. doi:10.1109/mesh.2010.17Porkodi, R., & Bhuvaneswari, V. (2014). The Internet of Things (IoT) Applications and Communication Enabling Technology Standards: An Overview. 2014 International Conference on Intelligent Computing Applications. doi:10.1109/icica.2014.73EPC Radio-Frequency Identity Protocols. Generation-2 UHF RFIDhttps://www.gs1.org/sites/default/files/docs/epc/uhfc1g2_2_0_0_standard_20131101.pdfUusitalo, M. (2006). Global Vision for the Future Wireless World from the WWRF. IEEE Vehicular Technology Magazine>, 1(2), 4-8. doi:10.1109/mvt.2006.283570Sung, J., Lopez, T. S., & Kim, D. (2007). The EPC Sensor Network for RFID and WSN Integration Infrastructure. Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW’07). doi:10.1109/percomw.2007.113Chunxiao Fan, Zhigang Wen, Fan Wang, & Yuexin Wu. (2011). A middleware of Internet of Things (IoT) based on ZigBee and RFID. IET International Conference on Communication Technology and Application (ICCTA 2011). doi:10.1049/cp.2011.0765Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016). Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios. IEEE Wireless Communications, 23(5), 60-67. doi:10.1109/mwc.2016.7721743Hai Liu, Bolic, M., Nayak, A., & Stojmenovic, I. (2008). Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks. IEEE Network, 22(6), 26-35. doi:10.1109/mnet.2008.4694171Bertolini, M., Bevilacqua, M., & Massini, R. (2006). FMECA approach to product traceability in the food industry. 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    Application of service composition mechanisms to Future Networks architectures and Smart Grids

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    Aquesta tesi gira entorn de la hipòtesi de la metodologia i mecanismes de composició de serveis i com es poden aplicar a diferents camps d'aplicació per a orquestrar de manera eficient comunicacions i processos flexibles i sensibles al context. Més concretament, se centra en dos camps d'aplicació: la distribució eficient i sensible al context de contingut multimèdia i els serveis d'una xarxa elèctrica intel·ligent. En aquest últim camp es centra en la gestió de la infraestructura, cap a la definició d'una Software Defined Utility (SDU), que proposa una nova manera de gestionar la Smart Grid amb un enfocament basat en programari, que permeti un funcionament molt més flexible de la infraestructura de xarxa elèctrica. Per tant, revisa el context, els requisits i els reptes, així com els enfocaments de la composició de serveis per a aquests camps. Fa especial èmfasi en la combinació de la composició de serveis amb arquitectures Future Network (FN), presentant una proposta de FN orientada a serveis per crear comunicacions adaptades i sota demanda. També es presenten metodologies i mecanismes de composició de serveis per operar sobre aquesta arquitectura, i posteriorment, es proposa el seu ús (en conjunció o no amb l'arquitectura FN) en els dos camps d'estudi. Finalment, es presenta la investigació i desenvolupament realitzat en l'àmbit de les xarxes intel·ligents, proposant diverses parts de la infraestructura SDU amb exemples d'aplicació de composició de serveis per dissenyar seguretat dinàmica i flexible o l'orquestració i gestió de serveis i recursos dins la infraestructura de l'empresa elèctrica.Esta tesis gira en torno a la hipótesis de la metodología y mecanismos de composición de servicios y cómo se pueden aplicar a diferentes campos de aplicación para orquestar de manera eficiente comunicaciones y procesos flexibles y sensibles al contexto. Más concretamente, se centra en dos campos de aplicación: la distribución eficiente y sensible al contexto de contenido multimedia y los servicios de una red eléctrica inteligente. En este último campo se centra en la gestión de la infraestructura, hacia la definición de una Software Defined Utility (SDU), que propone una nueva forma de gestionar la Smart Grid con un enfoque basado en software, que permita un funcionamiento mucho más flexible de la infraestructura de red eléctrica. Por lo tanto, revisa el contexto, los requisitos y los retos, así como los enfoques de la composición de servicios para estos campos. Hace especial hincapié en la combinación de la composición de servicios con arquitecturas Future Network (FN), presentando una propuesta de FN orientada a servicios para crear comunicaciones adaptadas y bajo demanda. También se presentan metodologías y mecanismos de composición de servicios para operar sobre esta arquitectura, y posteriormente, se propone su uso (en conjunción o no con la arquitectura FN) en los dos campos de estudio. Por último, se presenta la investigación y desarrollo realizado en el ámbito de las redes inteligentes, proponiendo varias partes de la infraestructura SDU con ejemplos de aplicación de composición de servicios para diseñar seguridad dinámica y flexible o la orquestación y gestión de servicios y recursos dentro de la infraestructura de la empresa eléctrica.This thesis revolves around the hypothesis the service composition methodology and mechanisms and how they can be applied to different fields of application in order to efficiently orchestrate flexible and context-aware communications and processes. More concretely, it focuses on two fields of application that are the context-aware media distribution and smart grid services and infrastructure management, towards a definition of a Software-Defined Utility (SDU), which proposes a new way of managing the Smart Grid following a software-based approach that enable a much more flexible operation of the power infrastructure. Hence, it reviews the context, requirements and challenges of these fields, as well as the service composition approaches. It makes special emphasis on the combination of service composition with Future Network (FN) architectures, presenting a service-oriented FN proposal for creating context-aware on-demand communication services. Service composition methodology and mechanisms are also presented in order to operate over this architecture, and afterwards, proposed for their usage (in conjunction or not with the FN architecture) in the deployment of context-aware media distribution and Smart Grids. Finally, the research and development done in the field of Smart Grids is depicted, proposing several parts of the SDU infrastructure, with examples of service composition application for designing dynamic and flexible security for smart metering or the orchestration and management of services and data resources within the utility infrastructure

    Wide-Area Control Schemes to Improve Small Signal Stability in Power Systems

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    One of the main concerns for the secure and reliable operation of power systems is the small signal stability problem. In the complex and highly interconnected structure of future power systems, relying solely on operator responses and conventional controls cannot assure reliability. Therefore, there is a need for advanced Wide-Area Control Schemes (WACS) that can automatically respond to degradation of reliability in the system. The main objective of this dissertation is to address two key challenges regarding the design and implementation of wide-area control schemes for damping inter-area oscillations. First is the high communication cost associated with optimal centralized control approaches. As power networks are large-scale systems, both the synthesis and the implementation of centralized controllers suggested by most of the previous studies are often impossible in practice. Second is the difficulty of obtaining accurate system-wide dynamic models for initiating and updating the control design. In this research, we introduced wide-area damping control strategies that not only ensure the small signal stability with the desired performance but also consider communication and model information limitations in the design. A state feedback formulation is proposed that aims to simultaneously optimize a standard Linear Quadratic Regulator (LQR) cost criterion and induce a pre-defined communication structure. We solved the proposed problem with three different objectives to target a specific wide-area damping control design challenge in each setting. First, the communication structure is enforced as a constraint in the optimization and solved for a large idealized power network with information symmetry. Second, to make the method suitable for systems with arbitrary structures and information patterns, we proposed a group-sparse regularization to be added to the optimization cost function. Applications of the method for inducing the desired communication network and finding effective measurement and control signal combinations were also investigated. Third, we paired the proposed optimal control with a real-time model identification approach, to create a wide-area control framework that is capable of dealing with model information limitations and inaccuracies in online implementation. The performances of the proposed wide-area damping control architectures are validated through nonlinear simulations on different test systems
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