91 research outputs found

    An end-to-end bidirectional authentication system for pallet pooling management through blockchain internet of things (BIoT)

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    Pallet pooling is regarded as a sustainable and cost-effective measure for the industry, but it is challenging to advocate due to weak data and pallet authentication. In order to establish trust between end-users and pallet pooling services, the authors propose an end-to-end, bidirectional authentication system for transmitted data and pallets based on blockchain and internet-of-things (IoT) technologies. In addition, secure data authentication fosters the pallet authenticity in the whole supply chain network, which is achieved by considering the tag, location, and object-specific features. To evaluate the object-specific features, the scale invariant feature transform (SIFT) approach is adopted to match key-points and descriptors between two pallet images. According to the case study, it is found that the proposed system provides a low bandwidth blocking rate and a high probability of restoring complete data payloads. Consequently, positive influences on end-user satisfaction, quality of service, operational errors, and pallet traceability are achieved through the deployment of the proposed system

    A fog computing framework for scalable RFID systems in global supply chain management

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    With the rapid proliferation of RFID systems in global supply chain management, tracking every object at the individual item level has led to the generation of enormous amount of data that will have to be stored and accessed quickly to make real time decisions. This is especially critical for perishable goods supply chain such as fruits and pharmaceuticals which have enormous value tied up in assets and may become worthless if they are not kept in precisely controlled and cool environments. While Cloud-based RFID solutions are deployed to monitor and track the products from manufacturer to retailer, we argue that Fog Computing is needed to bring efficiency and reduce the wastage experienced in the perishable produce supply chain. This paper investigates in-depth: (i) the application of Fog Computing in perishable produce supply chain management using blackberry fruit as a case study; (ii) the data, computations and storage requirements for the fog nodes at each stage of the supply chain; (iii) the adaptation of the architecture to the general perishable goods supply chain; and (iv) the benefits of the proposed fog nodes with respect to monitoring and actuation in the blackberry supply chain

    Edge/Fog Computing Technologies for IoT Infrastructure

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    The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies

    Enabling technologies and cyber-physical systems for mission-critical scenarios

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    Programa Oficial de Doutoramento en Tecnoloxías da Información e Comunicacións en Redes Móbiles . 5029P01[Abstract] Reliable transport systems, defense, public safety and quality assurance in the Industry 4.0 are essential in a modern society. In a mission-critical scenario, a mission failure would jeopardize human lives and put at risk some other assets whose impairment or loss would significantly harm society or business results. Even small degradations of the communications supporting the mission could have large and possibly dire consequences. On the one hand, mission-critical organizations wish to utilize the most modern, disruptive and innovative communication systems and technologies, and yet, on the other hand, need to comply with strict requirements, which are very different to those of non critical scenarios. The aim of this thesis is to assess the feasibility of applying emerging technologies like Internet of Things (IoT), Cyber-Physical Systems (CPS) and 4G broadband communications in mission-critical scenarios along three key critical infrastructure sectors: transportation, defense and public safety, and shipbuilding. Regarding the transport sector, this thesis provides an understanding of the progress of communications technologies used for railways since the implantation of Global System for Mobile communications-Railways (GSM-R). The aim of this work is to envision the potential contribution of Long Term Evolution (LTE) to provide additional features that GSM-R would never support. Furthermore, the ability of Industrial IoT for revolutionizing the railway industry and confront today's challenges is presented. Moreover, a detailed review of the most common flaws found in Radio Frequency IDentification (RFID) based IoT systems is presented, including the latest attacks described in the literature. As a result, a novel methodology for auditing security and reverse engineering RFID communications in transport applications is introduced. The second sector selected is driven by new operational needs and the challenges that arise from modern military deployments. The strategic advantages of 4G broadband technologies massively deployed in civil scenarios are examined. Furthermore, this thesis analyzes the great potential for applying IoT technologies to revolutionize modern warfare and provide benefits similar to those in industry. It identifies scenarios where defense and public safety could leverage better commercial IoT capabilities to deliver greater survivability to the warfighter or first responders, while reducing costs and increasing operation efficiency and effectiveness. The last part is devoted to the shipbuilding industry. After defining the novel concept of Shipyard 4.0, how a shipyard pipe workshop works and what are the requirements for building a smart pipe system are described in detail. Furthermore, the foundations for enabling an affordable CPS for Shipyards 4.0 are presented. The CPS proposed consists of a network of beacons that continuously collect information about the location of the pipes. Its design allows shipyards to obtain more information on the pipes and to make better use of it. Moreover, it is indicated how to build a positioning system from scratch in an environment as harsh in terms of communications as a shipyard, showing an example of its architecture and implementation.[Resumen] En la sociedad moderna, los sistemas de transporte fiables, la defensa, la seguridad pública y el control de la calidad en la Industria 4.0 son esenciales. En un escenario de misión crítica, el fracaso de una misión pone en peligro vidas humanas y en riesgo otros activos cuyo deterioro o pérdida perjudicaría significativamente a la sociedad o a los resultados de una empresa. Incluso pequeñas degradaciones en las comunicaciones que apoyan la misión podrían tener importantes y posiblemente terribles consecuencias. Por un lado, las organizaciones de misión crítica desean utilizar los sistemas y tecnologías de comunicación más modernos, disruptivos e innovadores y, sin embargo, deben cumplir requisitos estrictos que son muy diferentes a los relativos a escenarios no críticos. El objetivo principal de esta tesis es evaluar la viabilidad de aplicar tecnologías emergentes como Internet of Things (IoT), Cyber-Physical Systems (CPS) y comunicaciones de banda ancha 4G en escenarios de misión crítica en tres sectores clave de infraestructura crítica: transporte, defensa y seguridad pública, y construcción naval. Respecto al sector del transporte, esta tesis permite comprender el progreso de las tecnologías de comunicación en el ámbito ferroviario desde la implantación de Global System for Mobile communications-Railway (GSM-R). El objetivo de este trabajo es analizar la contribución potencial de Long Term Evolution (LTE) para proporcionar características adicionales que GSM-R nunca podría soportar. Además, se presenta la capacidad de la IoT industrial para revolucionar la industria ferroviaria y afrontar los retos actuales. Asimismo, se estudian con detalle las vulnerabilidades más comunes de los sistemas IoT basados en Radio Frequency IDentification (RFID), incluyendo los últimos ataques descritos en la literatura. Como resultado, se presenta una metodología innovadora para realizar auditorías de seguridad e ingeniería inversa de las comunicaciones RFID en aplicaciones de transporte. El segundo sector elegido viene impulsado por las nuevas necesidades operacionales y los desafíos que surgen de los despliegues militares modernos. Para afrontarlos, se analizan las ventajas estratégicas de las tecnologías de banda ancha 4G masivamente desplegadas en escenarios civiles. Asimismo, esta tesis analiza el gran potencial de aplicación de las tecnologías IoT para revolucionar la guerra moderna y proporcionar beneficios similares a los alcanzados por la industria. Se identifican escenarios en los que la defensa y la seguridad pública podrían aprovechar mejor las capacidades comerciales de IoT para ofrecer una mayor capacidad de supervivencia al combatiente o a los servicios de emergencias, a la vez que reduce los costes y aumenta la eficiencia y efectividad de las operaciones. La última parte se dedica a la industria de construcción naval. Después de definir el novedoso concepto de Astillero 4.0, se describe en detalle cómo funciona el taller de tubería de astillero y cuáles son los requisitos para construir un sistema de tuberías inteligentes. Además, se presentan los fundamentos para posibilitar un CPS asequible para Astilleros 4.0. El CPS propuesto consiste en una red de balizas que continuamente recogen información sobre la ubicación de las tuberías. Su diseño permite a los astilleros obtener más información sobre las tuberías y hacer un mejor uso de las mismas. Asimismo, se indica cómo construir un sistema de posicionamiento desde cero en un entorno tan hostil en términos de comunicaciones, mostrando un ejemplo de su arquitectura e implementación

    AI and IoT for Production Data Analytics in SMEs

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    Data Centre Infrastructure: Design and Performance

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    The tremendous growth of e-commerce requires an increase in the data centre capacity and reliability for appropriate quality of services. Optimisation of data centre design is considered to be within a green technology that shows great promise to decrease CO2 emission. However, a huge data centre requires huge power consumption due to higher capacity of racks that lead to more powerful cooling systems, power supply, protection and security. These make the data centre costly and not feasible for services. In this chapter, we will provide a tire 4 data centre design to be located in the optimal location of Malaysia, in Cyberjaya. The main purpose of this design is to provide e-commerce services, especially food delivery, with high quality of services and feasibility. All data centre components have been well designed to provide various services which include top-level security, colocation system, reliable data management and IT infrastructure management. Moreover, recommendation and justification have been provided to ensure that the proposed design outperforms compared to other data centres in terms of reliability, power effeminacy and storage capacity. In conclusion, analysing, synthesising and evaluating each component of the proposed data centre will be summarised

    Cognitive Hyperconnected Digital Transformation

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    Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business

    New Challenges on Web Architectures for the Homogenization of the Heterogeneity of Smart Objects in the Internet of Things

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    Aquesta tesi tracta de dues de les noves tecnologies relacionades amb la Internet of Things (IoT) i la seva integració amb el camp de les Smart Grids (SGs); aquestes tecnologies son la Web of Things (WoT) i la Social Internet of Things (SIoT). La WoT és una tecnologia que s’espera que proveeixi d’un entorn escalable i interoperable a la IoT usant la infraestructura web existent, els protocols web y la web semàntica. També s’espera que la SIoT contribueixi a solucionar els reptes d’escalabilitat i capacitat de descobriment creant una xarxa social d’agents (objectes i humans). Per explorar la sinergia entre aquestes tecnologies, l’objectiu és el de proporcionar evidència pràctica i empírica, generalment en forma de prototips d’implementació i experimentació empírica. En relació amb la WoT i les SGs, s’ha creat un prototip per al Web of Energy (WoE) que té com a objectiu abordar els desafiaments presents en el domini les SGs. El prototip és capaç de proporcionar interoperabilitat i homogeneïtat entre diversos protocols. El disseny d’implementació es basa en el Model d’Actors, que també proporciona escalabilitat del prototip. L’experimentació mostra que el prototip pot gestionar la transmissió de missatges per a aplicacions de les SGs que requereixen que la comunicació es realitzi sota llindars de temps crítics. També es pren una altra direcció d’investigació similar, menys centrada en les SGs, però per a una gamma més àmplia de dominis d’aplicació. S’integra la descripció dels fluxos d’execució com a màquines d’estats finits utilitzant ontologies web (Resource Description Framework (RDF)) i metodologies de la WoT (les accions es realitzen basant-se en peticions Hyper-Text Transfer Protocol/Secure (HTTP/S) a Uniform Resource Locators (URLs)). Aquest flux d’execució, que també pot ser un plantilla per a permetre una configuració flexible en temps d’execució, s’implementa i interpreta com si fos (i mitjançant) un Virtual Object (VO). L’objectiu de la plantilla és ser reutilitzable i poder-se compartir entre múltiples desplegaments de la IoT dins el mateix domini d’aplicació. A causa de les tecnologies utilitzades, la solució no és adequada per a aplicacions de temps crític (llindar de temps relativament baix i rígid). No obstant això, és adequat per a aplicacions que no demanden resposta en un temps crític i que requereixen el desplegament de VOs similars en el que fa referència al flux d’execució. Finalment, el treball s’enfoca en una altra tecnologia destinada a millorar l’escalabilitat i la capacitat de descobriment en la IoT. La SIoT està sorgint com una nova estructura de la IoT que uneix els nodes a través de relacions significatives. Aquestes relacions tenen com a objectiu millorar la capacitat de descobriment; en conseqüència, millora la escalabilitat d’una xarxa de la IoT. En aquest treball s’aplica aquest nou paradigma per optimitzar la gestió de l’energia en el costat de la demanda a les SGs. L’objectiu és aprofitar les característiques de la SIoT per ajudar a la creació de Prosumer Community Groups (PCGs) (grups d’usuaris que consumeixen o produeixen energia) amb el mateix objectiu d’optimització en l’ús de l’energia. La sinergia entre la SIoT i les SGs s’ha anomenat Social Internet of Energy (SIoE). Per tant, amb la SIoE i amb el focus en un desafiament específic, s’estableix la base conceptual per a la integració entre la SIoT i les SGs. Els experiments inicials mostren resultats prometedors i aplanen el camí per a futures investigacions i avaluacions de la proposta. Es conclou que el WoT i la SIoT són dos paradigmes complementaris que nodreixen l’evolució de la propera generació de la IoT. S’espera que la propera generació de la IoT sigui un Multi-Agent System (MAS) generalitzat. Alguns investigadors ja estan apuntant a la Web i les seves tecnologies (per exemple, Web Semàntica, HTTP/S)—i més concretamente a la WoT — com a l’entorn que nodreixi a aquests agents. La SIoT pot millorar tant l’entorn com les relacions entre els agents en aquesta fusió. Les SGs també poden beneficiar-se dels avenços de la IoT, ja que es poden considerar com una aplicació específica d’aquesta última.  Esta tesis trata de dos de las novedosas tecnologías relacionadas con la Internet of Things (IoT) y su integración con el campo de las Smart Grids (SGs); estas tecnologías son laWeb of Things (WoT) y la Social Internet of Things (SIoT). La WoT es una tecnología que se espera que provea de un entorno escalable e interoperable a la IoT usando la infraestructura web existente, los protocolos web y la web semántica. También se espera que la SIoT contribuya a solucionar los retos de escalabilidad y capacidad de descubrimiento creando una red social de agentes (objetos y humanos). Para explorar la sinergia entre estas tecnologías, el objetivo es el de proporcionar evidencia práctica y empírica, generalmente en forma de prototipos de implementación y experimentación empírica. En relación con la WoT y las SGs, se ha creado un prototipo para la Web of Energy (WoE) que tiene como objetivo abordar los desafíos presentes en el dominio las SGs. El prototipo es capaz de proporcionar interoperabilidad y homogeneidad entre diversos protocolos. El diseño de implementación se basa en el Modelo de Actores, que también proporciona escalabilidad del prototipo. La experimentación muestra que el prototipo puede manejar la transmisión de mensajes para aplicaciones de las SGs que requieran que la comunicación se realice bajo umbrales de tiempo críticos. También se toma otra dirección de investigación similar, menos centrada en las SGs, pero para una gama más amplia de dominios de aplicación. Se integra la descripción de los flujos de ejecución como máquinas de estados finitos utilizando ontologías web (Resource Description Framework (RDF)) y metodologías de la WoT (las acciones se realizan basándose en peticiones Hyper-Text Transfer Protocol/Secure (HTTP/S) a Uniform Resource Locators (URLs)). Este flujo de ejecución, que también puede ser una plantilla para permitir una configuración flexible en tiempo de ejecución, se implementa e interpreta como si fuera (y a través de) un Virtual Object (VO). El objetivo de la plantilla es que sea reutilizable y se pueda compartir entre múltiples despliegues de la IoT dentro del mismo dominio de aplicación. Debido a las tecnologías utilizadas, la solución no es adecuada para aplicaciones de tiempo crítico (umbral de tiempo relativamente bajo y rígido). Sin embargo, es adecuado para aplicaciones que no demandan respuesta en un tiempo crítico y que requieren el despliegue de VOs similares en cuanto al flujo de ejecución. Finalmente, el trabajo se enfoca en otra tecnología destinada a mejorar la escalabilidad y la capacidad de descubrimiento en la IoT. La SIoT está emergiendo como una nueva estructura de la IoT que une los nodos a través de relaciones significativas. Estas relaciones tienen como objetivo mejorar la capacidad de descubrimiento; en consecuencia, mejora la escalabilidad de una red de la IoT. En este trabajo se aplica este nuevo paradigma para optimizar la gestión de la energía en el lado de la demanda en las SGs. El objetivo es aprovechar las características de la SIoT para ayudar en la creación de Prosumer Community Groups (PCGs) (grupos de usuarios que consumen o producen energía) con el mismo objetivo de optimización en el uso de la energía. La sinergia entre la SIoT y las SGs ha sido denominada Social Internet of Energy (SIoE). Por lo tanto, con la SIoE y con el foco en un desafío específico, se establece la base conceptual para la integración entre la SIoT y las SG. Los experimentos iniciales muestran resultados prometedores y allanan el camino para futuras investigaciones y evaluaciones de la propuesta. Se concluye que la WoT y la SIoT son dos paradigmas complementarios que nutren la evolución de la próxima generación de la IoT. Se espera que la próxima generación de la IoT sea un Multi-Agent System (MAS) generalizado. Algunos investigadores ya están apuntando a la Web y sus tecnologías (por ejemplo,Web Semántica, HTTP/S)—y más concretamente a la WoT — como el entorno que nutra a estos agentes. La SIoT puede mejorar tanto el entorno como las relaciones entre los agentes en esta fusión. Como un campo específico de la IoT, las SGs también pueden beneficiarse de los avances de la IoT.This thesis deals with two novel Internet of Things (IoT) technologies and their integration to the field of the Smart Grid (SG); these technologies are the Web of Things (WoT) and the Social Internet of Things (SIoT). The WoT is an enabling technology expected to provide a scalable and interoperable environment to the IoT using the existing web infrastructure, web protocols and the semantic web. The SIoT is expected to expand further and contribute to scalability and discoverability challenges by creating a social network of agents (objects and humans). When exploring the synergy between those technologies, we aim at providing practical and empirical evidence, usually in the form of prototype implementations and empirical experimentation. In relation to the WoT and SG, we create a prototype for the Web of Energy (WoE), that aims at addressing challenges present in the SG domain. The prototype is capable of providing interoperability and homogeneity among diverse protocols. The implementation design is based on the Actor Model, which also provides scalability in regards to the prototype. Experimentation shows that the prototype can handle the transmission of messages for time-critical SG applications. We also take another similar research direction less focused on the SG, but for a broader range of application domains. We integrate the description of flows of execution as Finite-State Machines (FSMs) using web ontologies (Resource Description Framework (RDF)) and WoT methodologies (actions are performed on the basis of calls Hyper Text Transfer Protocol/ Secure (HTTP/S) to a Uniform Resource Locator (URL)). This execution flow, which can also be a template to allow flexible configuration at runtime, is deployed and interpreted as (and through) a Virtual Object (VO). The template aims to be reusable and shareable among multiple IoT deployments within the same application domain. Due to the technologies used, the solution is not suitable for time-critical applications. Nevertheless, it is suitable for non-time-critical applications that require the deployment of similar VOs. Finally, we focus on another technology aimed at improving scalability and discoverability in IoT. The SIoT is emerging as a new IoT structure that links nodes through meaningful relationships. These relationships aim at improving discoverability; consequently, improving the scalability of an IoT network. We apply this new paradigm to optimize energy management at the demand side in a SG. Our objective is to harness the features of the SIoT to aid in the creation of Prosumer Community Group (PCG) (groups of energy users that consume or produce energy) with the same Demand Side Management (DSM) goal. We refer to the synergy between SIoT and SG as Social Internet of Energy (SIoE). Therefore, with the SIoE and focusing on a specific challenge, we set the conceptual basis for the integration between SIoT and SG. Initial experiments show promising results and pave the way for further research and evaluation of the proposal. We conclude that the WoT and the SIoT are two complementary paradigms that nourish the evolution of the next generation IoT. The next generation IoT is expected to be a pervasive Multi-Agent System (MAS). Some researchers are already pointing at the Web and its technologies (e.g. Semantic Web, HTTP/S) — and more concretely at the WoT — as the environment nourishing the agents. The SIoT can enhance both the environment and the relationships between agents in this fusion. As a specific field of the IoT, the SG can also benefit from IoT advancements
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