[pt] A popularização da Internet das Coisas (IoT) abriu uma série de oportuni-dades para a geração de novas aplicações que não eram possíveis anteriormente. No cenário atual de IoT existem marketplaces que vendem soluções completas para os clientes com objetos inteligentes, gateways para a transmissão dos dados e provedores que analisam estes por uma taxa de assinatura. Partimos da visão de que no futuro deverá ocorrer uma uberização de IoT, onde cada pessoa poderá oferecer dados de sensores e acesso a atuadores para outra e que eles estarão categorizados com base no QoS dos objetos que os fornecem, similarmente como são classificadas commodities hoje. Além disso, haverá plataformas multilaterais onde essas informações poderão ser negociadas em combinação com provedores de conectividade, para transmitir os dados, e de análise. Uma plataforma que fornece esse serviço deve garantir que o fluxo de dados (e do estado) de objetos seja contínuo, sem expor para o cliente algum problema de conectividade entre eles e os provedores. Ou seja, ela deve ter mecanismos para detectá-los e rapidamente selecionar novos provedores, isso dentro de um cenário de intensa troca de dados. Este trabalho apresenta como contribuições um mecanismo de detecção contínuo de problemas de conectividade que utiliza o paradigma Publish-Subscribe para o envio de mensagens de identificação de problemas e uma solução arquitetural de uma plataforma baseada em conceitos de marketplaces para IoT, que inclui os serviços de comoditização dos provedores de serviço e o matchmaking para selecionar uma combinação destes para prestar serviços para o cliente. Um estudo de caso no domínio de marketplaces é conduzido, com a análise dos serviços da plataforma em vários cenários de testes e a avaliação do mecanismo de detecção de problemas de conectividade, com a simulação de diferentes falhas na conexão. / [en] The popularization of the Internet of Things (IoT) opened up a series of opportunities for the generation of new applications that were not previously possible. In the current scenario of IoT there are marketplaces that sell complete solutions for users with smart objects, gateways for data transmission and providers that analyze these for a subscription fee. We start from the view that in the future an uberization of IoT should occur, where each person can offer sensor data and access to actuators to another and that they will be categorized based on the QoS of the objects that provide them, similarly as commodities are classified today. In addition, there will be multilateral platforms where this information can be negotiated in combination with connectivity providers, to transmit data, and analytics. A platform that provides this service must ensure that the data (and state) flow of objects is continuous, without exposing to the user any connectivity problems between them and the providers. That is, it must have mechanisms to detect problems and quickly select new providers, all this in a scenario of intense data exchange. This work presents as contributions a continuous connectivity problem detection mechanism that uses a Publish-Subscribe paradigm to send problem identification messages and an architectural solution of a platform based on marketplaces concepts for IoT, which includes the commoditization of service providers and a matchmaking service to select a combination of these to provide services to the customer. A case study in the domain of marketplaces is conducted, with the analysis of the services of the platform with several tests scenarios and the evaluation of the mechanism of detection of connectivity problems, with the simulation of different connection failures.

Les entités physiques prises en compte par les applications dites M2M dans les télécoms sont aujourd’hui de plus en plus hétérogènes. Le défi adressé par ce travail est donc l’intégration, et la configuration automatiques de toutes ces différentes variétés d’entités physiques d’une façon homogène dans les systèmes M2M, en généralisant les approches de configuration automatique déjà connues et utilisées pour les objets communicants numériques. Cette thèse présente un cadre théorique général et des mécanismes de base pour l’identification de modèles de telles entités physiques dans les systèmes d’information embarqués répartis, en englobant dans une même approche les équipements et les sous-ensembles de l’espace, faisant se rejoindre les points de vue ”internet des objets” et ”environnement interactif” dans une nouvelle vision unifiée de l’intelligence ambiante. Ce travail, motivé initialement par les applications à la gestion d’énergie domestique, cherche à intégrer au réseau local de la maison des entités physiques qui ont un impact énergétique mais ne sont dotés d’aucune connexion réseau, ce qui correspond à une extension qualitative du périmètre de l’Internet des Objets. Cette intégration se fait de manière tout à fait similaire à ce qui est fait classiquement pour des équipements numériques état de l’art, c’est-à-dire par des mécanismes de découverte et configuration spontanés. Ces mécanismes comportent les étapes suivantes : détection de la présence d’une entité physique par analyse de la coïncidence d’évènements significatifs reçus de capteurs ; sélection d’un premier modèle générique représentatif de l’entité physique détectée depuis une ontologie de référence en analysant des données reçues les capteurs ; création d’un composant logiciel représentant l’entité physique détectée, à partir du modèle sélectionné, et associant les capteurs et actionneurs utiles ; supervision et contrôle de l’entité cible par l’intermédiaire de ce composant logiciel ; mise à jour incrémentale du modèle de l’entité identifiée par analyse des données issues des capteurs associés. Ce travail est parti d’applications dans l’environnement de la maison, pour lesquelles il a été validé et mis en œuvre. Mais notre approche a vocation à être généralisée et étendue à des environnements comme les bâtiments ou la ville, en offrant suivant le même principe une infrastructure partagée pour toutes les applications M2M dans ces environnements / The physical entities which are taken into account by Machine to Machine (M2M) telecom applications are more and more heterogeneous. The challenge addressed by our research is the automatic integration and configuration of all these types of physical entities in M2M systems, with a homogeneous solution that generalizes self-configuration approaches used for networked digital devices. This thesis presents a general theoretical framework and basic mechanisms for the identification and configuration of such physical entity models in distributed embedded information systems. Our approach deals jointly with equipment and space entities encompassing the ”Internet of Things” (IoT) and ”interactive environment” viewpoints in a renewed interpretation of ambient intelligence. This work has been motivated initially by home energy management applications, trying to integrate into the Home Area Network all home entities that play a role in energy management, but do not have a networked interface of their own. This corresponds to a qualitative extension of the perimeter of the Home Area Network. This integration is achieved in a way similar to what is done for state of the art digital devices, through a spontaneous discovery and configuration mechanism, with the following stages: detection of the presence of a physical entity by analyzing the coincidence of significant events detected by sensors; selection of the first generic model corresponding to the detected physical entity from a reference ontology, on the basis of received sensors data; creation of a software component representing the detected physical entity, based on the selected model, associated with relevant sensors and actuators; provision of application interface for monitoring and control of the target entity through this intermediate software component; iterative update of the identified entity model on the basis of data from associated sensors. The proposed approach has been validated and implemented in home environments, but it is intended to be generalized and expanded to environments such as buildings or cities, offering a similarly shared infrastructure for all M2M applications in these environments

隨著物聯網這個萬物連網的概念順勢推動智慧家庭在市場裡蓬勃發展，可預期未來ISP(Internet Service Provider)業者勢必面臨大量智慧家庭中各種不同應用服務互相競爭頻寬資源的情況，甚至遇到網路滿載壅塞時造成應用服務不堪使用的情形。 為改善上述問題，本文以ISP業者管理智慧家庭中眾多的物聯網設備為情境，透過軟體定義網路 (Software Defined Network，SDN)進行頻寬排程配置，排程演算法以可兼顧公平性(fairness)、時間延遲(delay)及應用服務優先權(service priority)的A-MLWDF (Adaptive Modified Largest Weighted Delay First) [7]演算法，確保優先配置頻寬給智慧家庭中優先權較高、時效較為急迫的流量，以降低應用服務的延遲來提升智慧家庭網路之服務品質(Quality of Service，QoS)。 本研究透過OMNet++模擬器建構SDN環境與傳統環境中有眾多物聯網設備之智慧家庭。家中物聯網設備包含M2M (Machine to Machine)和非M2M(non Machine to Machine)裝置，以提供各種智慧家庭應用服務。我們透過SDN架構進行頻寬配置，達到集中式管控家中的頻寬資源，其中排程演算法包括PF、MLWDF、A-MLWDF。實驗結果顯示，以上排程演算法雖然於SDN環境下在公平性與抖動率表現並不顯著，公平性約改善1.6%及抖動率約降低1%左右，但在產能與延遲方面表現較為顯著，能有效提高產能約52%，及降低延遲約 52%。 / With the concept of IoT (Internet of Things) spread rapidly, it is the opportunity to promote smart homes in the expanding market. We can see that the future ISP (Internet Service Provider) has to face a large number of smart homes having bandwidth competition in a variety of different applications and causing application services unavailable due to network congestion.     In order to resolve the above problems, we propose that each ISP (Internet Service Provider) has to manage a large number of IoT devices in a smart home to performs bandwidth scheduling through Software Defined Network (SDN). We choose to use A-MLWDF scheduling algorithm (Adaptive Modified Largest Weighted Delay First) [7] which considers fairness, delay and service priority. A-MLWDF is able to ensure services of higher priority and emergent traffic be allocated bandwidth earlier and greatly reduce delay and thus effectively enhance Quality of Service (QoS) of smart homes.     In this research, we implement a SDN environment by using OMNet++ to simulate the bandwidth competition among smart homes with IoT devices. The IoT devices consists of M2M (Machine to Machine) and non-M2M (non Machine to Machine) devices which offer a variety of intelligent home application services. We configure the bandwidth allocation under SDN control. The scheduling algorithms include PF, MLWDF and A-MLWDF. When the network traffic is congested, SDN can significantly increase throughput and reduce latency compared to traditional network management. The experimental results show that above scheduling algorithms using SDN environment having no significant performance improvements in fairness and jitter. The fairness increases around 1.6% and the jitter reduces around 1%. However, it shows significant improvement on throughout and delay. The throughput increases around 52% and the delay reduces around 52%.

The present study is aiming to evaluate the Intelligent Personal Assistants usage motivations, addressing at the same time various privacy issues and concerns related to this emergent technology. To fulfil the purpose of the study I have applied two different research methods. Initially, a web survey conducted gathered 18 respondents answering 24 questions related to the presented topic. Subsequently, was organised a focus group by gathering seven respondents who shared their opinions on the subject of research. Two research questions were developed based on two hypotheses. First research question: “To what extent IPA users agree to personal data collection in order to gratify their sought needs?”; exploring the participants’ opinions when it comes to the degree of acceptance of personal information disclosure to gratify their needs. Moreover, second research question: “What are the motivating criteria that determine the usage of IPA?”. This question develops opinions and experiences on the usage of Intelligent Personal Assistants, as well as the way people perceive this new technology. The finding of this studies reveals that users of new media are concerned and aware of their personal data collection. However, as a result, they feel trapped in the network society by the peer pressure towards the usage of favourite mediums. Therefore, the denial of technology would bring unfavourable consequences from a social perspective. Further researches can be conducted on this topic, addressing in depth the Artificial Intelligence and its societal implications, possible utilities of the Intelligent Personal Assistants as a companion for children, elders and people with disabilities, Artificial Intelligence used in public administration. Consequently, many different aspects can be explored having the topic of this thesis as a starting point.

Small and Medium-sized Enterprises (SMEs) have grown steadily in recent years.  SMEs generate 59.7 % of value-added and 65.5 % of employment in the ‘non-financial business economy’ in Sweden. It's important for the success of SMEs to be ready to provide high product availability to customers at minimal operation costs. The challenges faced by SMEs are tougher in global competition. There is a rapid growth in the industrial revolution to deal with the challenges as well as competition. This work mainly focuses on implementing resource planning (RP) and adapting to the latest technologies of Industry 4.0 into SMEs to face the challenges. But incorporating Industry 4.0 in a major struggle in the SMEs.  The thesis provides a view of Resource Planning implementation. The authors describe the resource planning implementation techniques and define the requirements for its successful implementation. Resource Planning (RP) adoption factors have been studied quite extensively over the years. However, this master thesis tries to investigate the less explored area of resource planning. Relatively a smaller amount of research has been conducted, when it comes to implementation of Industry 4.0 technologies especially in Small and Medium-sized Enterprises (SMEs).  Industry 4.0 provides new paradigms for the industrial management of SMEs. Supported by a growing number of new technologies, this concept appears more flexible and less expensive than traditional enterprise information systems. This paper presents a literature review of existing applied research covering different Industry 4.0 issues about SMEs. Furthermore, the analysis is done to understand the correlation between the identified factors of Industry 4.0 technologies. The research findings indicate that the use of IoT and Cloud computing are major advantages for resource planning in an SME. The results from the analysis are presented in a framework designed for the future adaptation of these technologies. Despite the research limitations, the findings show a high advantage. Finally, the author suggests a future scope of research.

<div><p>Internet of Things (IoT) systems running on Microcontrollers (MCUS) have become a prominent target of remote attacks. Although deployed in security and safety critical domains, such systems lack basic mitigations against control-flow hijacking attacks. Attacks against IoT systems already enabled malicious takeover of smartphones, vehicles, unmanned aerial vehicles, and industrial control systems.</p></div><div><p> </p><div><p>The thesis introduces a systemic analysis of previous defense mitigations to secure IoT systems. Building off this systematization, we identify two main issues in IoT systems security. First, efforts to protect IoT systems are hindered by the lack of realistic benchmarks and evaluation frameworks. Second, existing solutions to protect from control-flow hijacking on the return edge are either impractical or have limited security guarantees. This thesis addresses these issues using two approaches. </p></div><div><p> </p></div><div><p>First, we present BenchIoT, a benchmark suite of five realistic IoT applications and an evaluation framework that enables automated and extensible evaluation of 14 metrics covering security, performance, memory usage, and energy. BenchIoT enables evaluating and comparing security mechanisms. Using BenchIoT, we show that even if two security mechanisms have similarly modest runtime overhead, one can have undesired consequences on security such as a large portion of privileged user execution.</p></div><div><p> </p></div><div><p>Second, we introduce Return Address Integrity (RAI), a novel security mechanism to prevent all control-flow hijacking attacks targeting return edges, without requiring special hardware. We design and implement μRAI to enforce the RAI property. Our results show μRAI has a low runtime overhead of 0.1% on average, and therefore is a</p></div><div><p>practical solution for IoT systems. </p></div><div><p> </p></div><div><p>This thesis enables measuring the security IoT systems through standardized benchmarks and metrics. Using static analysis and runtime monitors, it prevents control-flow hijacking attacks on return edges with low runtime overhead. Combined, this thesis advances the state-of-the-art of protecting IoT systems and benchmarking its security.</p></div></div>

<div><div><div><p>This project aims to develop a cloud-based platform that integrates sensors with business intelligence for real-time energy management at the plant level. It provides facility managers, an energy management platform that allows them to monitor equipment and plant-level energy consumption remotely, receive a warning, identify energy loss due to malfunction, present options with quantifiable effects for decision-making, and take actions, and assess the outcomes. The objectives consist of:</p><ol><li><p>Developing a generic platform for the monitoring energy consumption of industrial equipment using sensors</p></li><li><p>Control the connected equipment using an actuator</p></li><li><p>Integrating hardware, cloud, and application algorithms into the platform</p></li><li><p>Validating the system using an Energy Consumption Forecast scenario</p></li></ol><p>A Demo station was created for testing the system. The demo station consists of equipment such as air compressor, motor and light bulb. The current usage of these equipment is measured using current sensors. Apart from current sensors, temperature sensor, pres- sure sensor and CO2 sensor were also used. Current consumption of these equipment was measured over a couple of days. The control system was tested randomly by turning on equipment at random times. Turning on the equipment resulted in current consumption which ensured that the system is running. Thus, the system worked as expected and user could monitor and control the connected equipment remotely.</p></div></div></div>

<div>The manufacturing industry has begun its transition into a digital age, where data-driven decisions aim to improve product quality, output, and efficiency. Decisions made based on manufacturing data can help identify key problem areas in an assembly line and mitigate any defects from progressing through to the next step in the assembly process. But what if the products’ as manufactured data was inaccurate or didn’t exist at all? Decisions based on incorrect data can lead to defective parts being passed as good parts, costing manufacturers millions of dollars in rework or recalls. When specifically referring to mechanically fastened assemblies, products that experience rotation, like an aircraft propeller, or compress to create a seal, like an oil pipe flange, all require specific torque pattern sequences to be followed during assembly. When incorrectly torqued, the parts can have catastrophic failures resulting in consumer injury or ecological contamination. This paper outlines the development and feasibility of a system and its components for tracking and error-proofing the assembly of bolted joints in an industrial environment.</div><div>Using a machine vision system, the system traces the tool location relative to the mechanical fastener and records which order the fasteners were torqued in, if an error is detected, the system does not allow the user to progress through the assembly process, notifying if an error is detected. The system leverages open source machine learning algorithms from TensorFlow2 and OpenCv, that allow efficient object detection model training. The proposed system was tested using a series of tests and evaluated using the STEP method. The data collected aims to understand the system's feasibility and effectiveness in an industrial setting. </div><div>The tests aim to understand the effectiveness of the system under standard and variable industrial work conditions. Using the STEP method and other statistical analysis, an evaluation matrix was completed, ranking the system's ability to successfully meet all predetermined benchmarks and successfully record the torque pattern used to assemble apart</div>

[ES] Internet de las Cosas (IoT) es un paradigma tecnológico que está transformando y revolucionando el mundo en el cual vivimos, liderando la transformación digital y generando enormes posibilidades desde el punto de vista tecnológico que pueden solucionar grandes problemas y retos en nuestra sociedad y efectuar cambios profundos en nuestra economía e industria, y transformar nuestra vida cotidiana . Sin embargo, para poder obtener estos grandes beneficios y explotar todo su potencial todavía hace falta abordar y resolver grandes retos tecnológicos asociados. La interoperabilidad es el mayor reto tecnológico del paradigma IoT, conjuntamente con la seguridad, a causa de la vasta heterogeneidad inherente del universo IoT a todos los niveles y la falta de una estandarización global aceptada de facto capaz de alinear sus diferentes elementos y aspectos, que actualmente no se considera viable conseguir. La capacidad de elementos y sistemas de comunicarse y compartir información de manera efectiva entre ellos habilita intercambios de información relevante, coordinación o cooperación entre sí y sinergias. La fragmentación de la información de sistemas IoT y falta inherente de interoperabilidad en este paradigma causa graves problemas económicos y tecnológicos, e impide las sinergias entre sistemas. Se considera que la carencia de interoperabilidad es el mayor obstáculo para la formación de un ecosistema global de IoT, un hito en la transformación digital, puesto que impide la integración horizontal de mercados verticales y deja una gran fragmentación entre los sistemas basados en información obtenida con la tecnología IoT. IoT, uno de los paradigmas o habilitadores clave de la transformación digital, está enormemente limitada por carencias de interoperabilidad, que impiden su crecimiento, evolución y despliegue de todo su potencial. Es absolutamente crítico resolver el problema de falta intrínseca de interoperabilidad entre plataformas IoT para poder avanzar tecnológicamente hacia el Internet del Futuro, la Nueva Generación de IoT y la digitalización del mundo. La habilitación de la interoperabilidad entre sistemas y a lo largo de los sistemas, para conseguir un ecosistema interconexionado global, es un reto complejo y de múltiples facetas. Entre ellas, la interoperabilidad semántica, que implica el entendimiento completo, automático y sin ambigüedades de la información compartida entre sistemas, es singularmente compleja de obtener entre plataformas IoT a causa de la alta heterogeneidad entre sus modelos de información. En esta tesis se abarca el estudio, diseño, especificación, implementación y validación de habilitadores digitales (herramientas tecnológicas que promueven la digitalización del mundo) para establecer interoperabilidad en IoT en diferentes niveles (técnico, sintáctico, semántico) con especial enfoque en la interoperabilidad semántica entre plataformas heterogéneas, uno de los retos técnicos más complejos actualmente en IoT. También se abordan en el estudio y construcción de estos habilitadores temas a resolver de Internet del Futuro y la Nueva Generación de Internet de las Cosas. / [CA] Internet de les Coses (IoT) és un paradigma tecnològic que està transformant i revolucionant el món en el qual vivim, liderant la transformació digital i generant enormes possibilitats des del punt de vista tecnològic que poden solucionar grans problemes i reptes en la nostra societat i efectuar canvis profunds en la nostra economia i indústria, i transformar la nostra vida quotidiana. No obstant això, per a poder obtindre aquests grans beneficis i explotar tot el seu potencial encara fa falta abordar i resoldre grans reptes tecnològics associats. La interoperabilitat és el major repte tecnològic del paradigma IoT, conjuntament amb la seguretat, a causa de la vasta heterogeneïtat inherent de l'univers IoT a tots els nivells i la falta d'una estandardització global acceptada de facto capaç d'alinear els seus diferents elements i aspectes, que actualment no es considera viable aconseguir. La capacitat d'elements i sistemes de comunicar-se i compartir informació de manera efectiva entre ells habilita intercanvis d'informació rellevant, coordinació o cooperació entre si i sinergies. La fragmentació de la informació de sistemes IoT i falta inherent d'interoperabilitat en aquest paradigma causa greus problemes econòmics i tecnològics, i impedeix les sinergies entre sistemes. Es considera que la manca d'interoperabilitat és el major obstacle per a la formació d'un ecosistema global de IoT, una fita en la transformació digital, ja que impedeix la integració horitzontal de mercats verticals i deixa una gran fragmentació entre els sistemes basats en informació obtinguda amb la tecnologia IoT. La IoT, un dels paradigmes o habilitadors clau de la transformació digital, està enormement limitada per manques d'interoperabilitat, que impedeixen el seu creixement, evolució i desplegament de tot el seu potencial. És absolutament crític resoldre el problema de falta intrínseca d'interoperabilitat entre plataformes IoT per a poder avançar tecnològicament cap a la Internet del Futur, la Nova Generació de IoT i la digitalització del món. L'habilitació de la interoperabilitat entre sistemes i al llarg dels sistemes, per a aconseguir un ecosistema interconnectat global, és un repte complex i de múltiples facetes. Entre elles, la interoperabilitat semàntica, que implica l'enteniment complet, automàtic i sense ambigüitats de la informació compartida entre sistemes, és singularment complexa d'obtindre entre plataformes IoT a causa de l'alta heterogeneïtat entre els seus models d'informació. En aquesta tesi s'abasta l'estudi, disseny, especificació, implementació i validació d'habilitadors digitals (eines tecnològiques que promouen la digitalització del món) per a establir interoperabilitat en IoT en diferents nivells (tècnic, sintàctic, semàntic) amb especial enfocament en la interoperabilitat semàntica entre plataformes heterogènies, un dels reptes tècnics més complexos actualment en IoT. També s'aborden en l'estudi i construcció d'aquests habilitadors temes a resoldre d'Internet del Futur i la Nova Generació d'Internet de les Coses. / [EN] The Internet of Things (IoT) is a technological paradigm that is transforming and revolutionising the world we live in, leading the digital transformation and generating enormous technological possibilities that could solve major challenges in our society, effect profound changes in our economy and industry and transform our daily lives. However, in order to realise these great benefits and exploit IoT's full potential, there are major associated technological challenges to be addressed and solved. Interoperability is the biggest technological challenge of the IoT paradigm, together with security, because of the vast inherent heterogeneity in IoT at all levels and the lack of a de facto global standard capable of aligning its different elements and aspects, which is currently not considered feasible to achieve. The ability of elements and systems to communicate and share information effectively with each other enables exchanges of relevant information, coordination or cooperation with each other and synergies. The fragmentation of information in IoT systems and inherent lack of interoperability in this paradigm causes serious economic and technological problems, and prevents synergies between systems. The lack of interoperability is considered to be the biggest obstacle to the formation of a global IoT ecosystem, a milestone in the digital transformation, as it prevents horizontal integration of vertical markets and leaves a large fragmentation between systems based on IoT-derived information. IoT, one of the key paradigms or enablers of digital transformation, is severely constrained by interoperability gaps, which impede its growth, evolution and deployment of its full potential. It is absolutely critical to solve the problem of intrinsic lack of interoperability between IoT platforms in order to move technologically towards the Future Internet, the Next Generation IoT and the digitisation of the world. The enablement of interoperability between and across systems to achieve a globally interconnected ecosystem is a complex and multi-faceted challenge. Among them, semantic interoperability, which implies an automatic unambiguous understanding of the information shared between systems, is hardly feasible between IoT platforms due to the high heterogeneity of information models. This thesis covers the study, design, specification, implementation and validation of digital enablers to establish IoT interoperability at different levels (technical, syntactic, semantic) with special focus on semantic interoperability between heterogeneous platforms, one of the most complex technical challenges currently in IoT. The study and construction of these enablers also address issues to solve in the Future Internet and the Next Generation of the Internet of Things. / González Usach, R. (2022). Diseño, especificación, implementación y validación de habilitadores digitales para la interoperabilidad de plataformas de Internet de las cosas (IoT) [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/181643 / TESIS

Des Réseaux de Capteurs Sans Fil (RdCSF) deviennent omniprésents et sont utilisés dans diverses applications domaines. Ils sont les pierres angulaires de l'émergence de l'Internet des Objets (IdO) paradigme. Déploiements traditionnels de réseaux de capteurs sont spécifiques à un domaine, avec des applications généralement incrustés dans le RdCSF, excluant la ré-utilisation de l'infrastructure par d'autres applications. Maintenant, avec l'avènement de l'IdO, cette approche est de moins en moins viable. Une solution possible réside dans le partage d'une même RdCSF par de plusieurs applications et services, y compris même les applications et services qui ne sont pas envisagées lors du déploiement de RdCSF. Deux principaux développements majeurs ont conduit à cette solution potentielle. Premièrement, comme les nœuds de RdCSF sont de plus en plus puissants, il devient de plus en plus pertinent de rechercher comment pourrait plusieurs applications partager les mêmes déploiements WSN. La deuxième évolution est le Cloud Computing paradigme qui promeut des ressources et de la rentabilité en appliquant le concept de virtualisation les ressources physiques disponibles. Grâce à ces développements de cette thèse fait les contributions suivantes. Tout d'abord, un vaste état de la revue d'art est présenté qui présente les principes de base de RdCSF la virtualisation et sa pertinence avec précaution motive les scénarios sélectionnés. Les travaux existants sont présentés en détail et évaluées de manière critique en utilisant un ensemble d'exigences provenant du scénario. Cette contribution améliore sensiblement les critiques actuelles sur l'état de l'art en termes de portée, de la motivation, de détails, et les questions de recherche futures. La deuxième contribution se compose de deux parties: la première partie est une nouvelle architecture de virtualization RdCSF multicouche permet l'approvisionnement de plusieurs applications et services au cours du même déploiement de RdCSF. Il est mis en œuvre et évaluée en utilisant un prototype basé sur un scénario de preuve de concept en utilisant le kit Java SunSpot. La deuxième partie de cette contribution est l'architecture étendue qui permet à l’infrastructure virtualisée RdCSF d'interagir avec un RdCSF Platform-as-a-Service (PaaS) à un niveau d'abstraction plus élevé. Grâce à ces améliorations RdCSF PaaS peut provisionner des applications et des services RdCSF aux utilisateurs finaux que Software-as-a-Service (SaaS). Les premiers résultats sont présentés sur la base de l'implantation de l'architecture améliorée en utilisant le kit Java SunSpot. La troisième contribution est une nouvelle architecture d'annotation de données pour les applications sémantiques dans les environnements virtualisés les RdCSF. Il permet en réseau annotation de données et utilise des superpositions étant la pierre angulaire. Nous utilisons la base ontologie de domaine indépendant d'annoter les données du capteur. Un prototype de preuve de concept, basé sur un scénario, est développé et mis en œuvre en utilisant Java SunSpot, Kits AdvanticSys et Google App Engine. La quatrième et dernière contribution est l'amélioration à l'annotation de données proposée l'architecture sur deux fronts. L'un est l'extension à l'architecture proposée pour soutenir la création d'ontologie, de la distribution et la gestion. Le deuxième front est une heuristique génétique basée algorithme utilisé pour la sélection de noeuds capables de stocker l'ontologie de base. L'extension de la gestion d'ontologie est mise en oeuvre et évaluée à l'aide d'un prototype de validation de principe à l'aide de Java kit SunSpot, tandis que les résultats de la simulation de l'algorithme sont présentés / Wireless Sensor Networks (WSNs) are becoming ubiquitous and are used in diverse applications domains. Traditional deployments of WSNs are domain-specific, with applications usually embedded in the WSN, precluding the re-use of the infrastructure by other applications. This can lead to redundant deployments. Now with the advent of IoT, this approach is less and less viable. A potential solution lies in the sharing of a same WSN by multiple applications and services, to allow resource- and cost-efficiency. In this dissertation, three architectural solutions are proposed for this purpose. The first solution consists of two parts: the first part is a novel multilayer WSN virtualization architecture that allows the provisioning of multiple applications and services over the same WSN deployment. The second part of this contribution is the extended architecture that allows virtualized WSN infrastructure to interact with a WSN Platform-as-a-Service (PaaS) at a higher level of abstraction. Both these solutions are implemented and evaluated using two scenario-based proof-of-concept prototypes using Java SunSpot kit. The second architectural solution is a novel data annotation architecture for the provisioning of semantic applications in virtualized WSNs. It is capable of providing in-network, distributed, real-time annotation of raw sensor data and uses overlays as the cornerstone. This architecture is implemented and evaluated using Java SunSpot, AdvanticSys kits and Google App Engine. The third architectural solution is the enhancement to the data annotation architecture on two fronts. One is a heuristic-based genetic algorithm used for the selection of capable nodes for storing the base ontology. The second front is the extension to the proposed architecture to support ontology creation, distribution and management. The simulation results of the algorithm are presented and the ontology management extension is implemented and evaluated using a proof-of-concept prototype using Java SunSpot kit. As another contribution, an extensive state-of-the-art review is presented that introduces the basics of WSN virtualization and motivates its pertinence with carefully selected scenarios. This contribution substantially improves current state-of-the-art reviews in terms of the scope, motivation, details, and future research issues