L'Internet des Objets (IdO) couvre peu à peu tous les aspects de notre vie. À mesure que ces systèmes deviennent plus répandus, le besoin de gérer cette infrastructure complexe comporte plusieurs défis. En effet, beaucoup de petits appareils interconnectés fournissent maintenant plus d'un service dans plusieurs aspects de notre vie quotidienne, qui doivent être adaptés à de nouveaux contextes sans l'interruption de tels services. Cependant, ce nouveau système informatique diffère des systèmes classiques principalement sur le type, la taille physique et l'accès des nœuds. Ainsi, des méthodes typiques pour gérer la couche logicielle sur de grands systèmes distribués comme on fait traditionnellement ne peuvent pas être employées dans ce contexte. En effet, cela est dû aux capacités très différentes dans la puissance de calcul et la connectivité réseau, qui sont très contraintes pour les appareils de l'IdO. De plus, la complexité qui était auparavant gérée par des experts de plusieurs domaines, tels que les systèmes embarqués et les réseaux de capteurs sans fil (WSN), est maintenant accrue par la plus grande quantité et hétérogénéité des logiciels et du matériel des nœuds. Par conséquent, nous avons besoin de méthodes efficaces pour gérer la couche logicielle de ces systèmes, en tenant compte les ressources très limitées. Cette infrastructure matérielle sous-jacente pose de nouveaux défis dans la manière dont nous administrons la couche logicielle de ces systèmes. Ces défis peuvent entre divisés en : Intra-nœud, sur lequel nous faisons face à la mémoire limitée et à la puissance de calcul des nœuds IdO, afin de gérer les mises à jour sur ces appareils ; Inter-noeud, sur lequel une nouvelle façon de distribuer les mises à jour est nécessaire, en raison de la topologie réseau différente et le coût en énergie pour les appareils alimentés par batterie ; En effet, la puissance de calcul limitée et la durée de vie de chaque nœud combiné à la nature très distribuée de ces systèmes, ajoute de la complexité à la gestion de la couche logicielle distribuée. La reconfiguration logicielle des nœuds dans l'Internet des objets est une préoccupation majeure dans plusieurs domaines d'application. En particulier, la distribution du code pour fournir des nouvelles fonctionnalités ou mettre à jour le logiciel déjà installé afin de l'adapter aux nouvelles exigences, a un impact énorme sur la consommation d'énergie. La plupart des algorithmes actuels de diffusion du code sur l'air (OTA) sont destinés à diffuser un microprogramme complet à travers de petits fragments, et sont souvent mis en œuvre dans la couche réseau, ignorant ainsi toutes les informations de guidage de la couche applicative. Première contribution : Un moteur de modèles en temps d'exécution représentant une application de l'IdO en cours d'exécution sur les nœuds à ressources limitées. La transformation du méta-modèle Kevoree en code C pour répondre aux contraintes de mémoire spécifiques d'un dispositif IdO a été réalisée, ainsi que la proposition des outils de modélisation pour manipuler un modèle en temps d'exécution. Deuxième contribution : découplage en composants d'un système IdO ainsi qu'un algorithme de distribution de composants efficace. Le découplage en composants d'une application dans le contexte de l'IdO facilite sa représentation sur le modèle en temps d'exécution, alors qu'il fournit un moyen de changer facilement son comportement en ajoutant/supprimant des composants et de modifier leurs paramètres. En outre, un mécanisme pour distribuer ces composants en utilisant un nouvel algorithme appelé Calpulli est proposé. / The Internet of Things (IoT) is covering little by little every aspect on our lives. As these systems become more pervasive, the need of managing this complex infrastructure comes with several challenges. Indeed, plenty of small interconnected devices are now providing more than a service in several aspects of our everyday life, which need to be adapted to new contexts without the interruption of such services. However, this new computing system differs from classical Internet systems mainly on the type, physical size and access of the nodes. Thus, typical methods to manage the distributed software layer on large distributed systems as usual cannot be employed on this context. Indeed, this is due to the very different capacities on computing power and network connectivity, which are very constrained for IoT devices. Moreover, the complexity which was before managed by experts on several fields, such as embedded systems and Wireless Sensor Networks (WSN), is now increased by the larger quantity and heterogeneity of the node’s software and hardware. Therefore, we need efficient methods to manage the software layer of these systems, taking into account the very limited resources. This underlying hardware infrastructure raises new challenges in the way we administrate the software layer of these systems. These challenges can be divided into: intra-node, on which we face the limited memory and CPU of IoT nodes, in order to manage the software layer and ; inter-node, on which a new way to distribute the updates is needed, due to the different network topology and cost in energy for battery powered devices. Indeed, the limited computing power and battery life of each node combined with the very distributed nature of these systems, greatly adds complexity to the distributed software layer management. Software reconfiguration of nodes in the Internet of Things is a major concern for various application fields. In particular, distributing the code of updated or new software features to their final node destination in order to adapt it to new requirements, has a huge impact on energy consumption. Most current algorithms for disseminating code over the air (OTA) are meant to disseminate a complete firmware through small chunks and are often implemented at the network layer, thus ignoring all guiding information from the application layer. First contribution: A models@runtime engine able to represent an IoT running application on resource constrained nodes. The transformation of the Kevoree meta-model into C code to meet the specific memory constraints of an IoT device was performed, as well as the proposition of modelling tools to manipulate a model@runtime. Second contribution: Component decoupling of an IoT system as well as an efficient component distribution algorithm. Components decoupling of an application in the context of the IoT facilitates its representation on the model@runtime, while it provides a way to easily change its behaviour by adding/removing components and changing their parameters. In addition, a mechanism to distribute such components using a new algorithm, called Calpulli is proposed.

「台灣的代工製造產業應該如何發展」的問題，是困擾PC產業的管理難題，特別是在公司面臨產品成熟、訂單驟減、毛利下滑的時刻。所有台灣的代工製造產業亟思轉型的方法和方向，但是轉型到的新的產品市場或產品也是非常複雜、動態、多重因素多相互依存及影響。屬於複雜難解的問題(Wicked Problem)、問題本身都還需要定義及釐清。本論文將列出想解決的議題並定義為服務設計的議題。 因此本研究的服務設計議題(Service Design Challenge)可定義如下:「以服務設計思維建構專業代工緯創的未來」。本論文經由訪談傳統PC產業的品牌公司、IC供應商、作業系統公司和工業PC的公司，研究過程藉由運用服務設計(Service Design)手法並發掘洞見(Insights)與價值，據此將真正符合客戶需求，在找出表面及深層需求後、設計新的服務模式，得到其反饋之後再修正設計；接著結合最新科技趨勢，例如：物聯網、工業4.0、感測器和機器手臂，以提供客戶安心的代工服務；最後希望藉由改變運營模式，達到緯創成功轉型的目標。 雖然新的科技尚未成熟，只要方向正確，這些模式或能力成熟後，可以快速讓公司保持彈性，能充分利用的資源，進行個別化差異設計。 / “How to develop the ODM (Original Design Manufacturer) industry in Taiwan” is plagued by PC industry management problems, especially for those companies facing product maturity, orders plummeted and the decline in gross margin. The ODM in Taiwan is trying to change the way and direction, but the transition to the new product market or product is very complex, dynamic and involves multiple inter-dependent factors. It is a complex problem (Wicked Problem), and the problem itself also needs to be defined and clarified. The aim of this thesis is to address and define the issues through the lens of service design. Therefore, our Service Design Challenge Problems can be defined as: “The Future of Wistron through the Service Design Lens". This thesis, through interviews with traditional PC industry brand companies, IC suppliers, operating systems companies and industrial PC companies, adopts the research process of the service design approach and explores the insights and value, which will truly meet Customer needs, identify the surface and deep demand, attain the design of new service model, and integrate the latest technology trends, such as Internet of things, industry 4.0, the sensor and the robot arm, in order to provide customers with reliable and assured ODM services. Our final hope is to change the operating mode and achieve a successful Enterprise Transformation of Wistron. Although the new technology is not yet mature, as long as the direction is correct in light of these models or abilities to mature, the company can remain flexible, make full use of resources, and create individualized design differences.

Secret sharing is critical to most applications making use of security and remains one of the most challenging research areas in modern cryptography. In this thesis, we propose a novel efficient multi-secret sharing scheme based on the Chinese remainder theorem (CRT) with two verification methods, while the previous works are mostly based on the Lagrange polynomial. Key management schemes play an important role in communication security in Wireless Sensor Networks (WSNs). While the previous works mainly targeting on two different types of WSNs: distributed and hieratical, in this thesis, we propose our flexible WSN key management scheme, which is based on (n,t,n) multi-secret sharing technique, to provide a key management solution for heterogeneous architecture. The powerful key managers are responsible for most of the communicational and computational workload. They can provide Peer-to-Peer pair-wise keys for a pair of sensors to establish a secure communication session, and in the same time, they can also form communication clusters as cluster heads according to different application requirements. Internet of Things (IoT) becomes more and more popular and practical in recent years. Considering the diversity of the devices and the application scenarios, it is extremely hard to couple two devices or sub-networks with different communication and computation resources. In this thesis, we propose novel key agreement schemes based on (n,t,n) multi-secret sharing techniques for IoT in order to achieve light weighted key exchange while using Host Identity Protocol (HIP). We refer the new schemes as HIP-MEXs with different underlying multi-secret sharing techniques. We analyzed the computational and communication costs of the extremely resource constrained device which is referred to as Initiator, and CRT based HIP-MEX successfully outsource the heavy workload to the proxy, which are considered more powerful, when establishing new secret key.

L'Internet des objets (ou IdO) se traduit à l'heure actuelle par l'accroissement du nombre d'objets connectés, c'est-à-dire d'appareils possédant une identité propre et des capacités de calcul et de communication de plus en plus sophistiquées : téléphones, montres, appareils ménagers, etc. Ces objets embarquent un nombre grandissant de capteurs et d'actionneurs leur permettant de mesurer l'environnement et d'agir sur celui-ci, faisant ainsi le lien entre le monde physique et le monde virtuel. Spécifiquement, l'Internet des objets pose plusieurs problèmes, notamment du fait de sa très grande échelle, de sa nature dynamique et de l'hétérogénéité des données et des systèmes qui le composent (appareils puissants/peu puissants, fixes/mobiles, batteries/alimentations continues, etc.). Ces caractéristiques nécessitent des outils et des méthodes idoines pour la réalisation d'applications capables (i) d'extraire des informations utiles depuis les nombreuses sources de données disponibles et (ii) d'interagir aussi bien avec l'environnement, au moyen des actionneurs, qu'avec les utilisateurs, au moyen d'interfaces dédiées. Dans cette optique, nous défendons la thèse suivante : en raison de la nature continue des données (mesures physiques, évènements, etc.) et leur volume, il est important de considérer (i) les flux comme modèle de données de référence de l'Internet des objets et (ii) le traitement continu comme modèle de calcul privilégié pour transformer ces flux. En outre, étant donné les préoccupations croissantes relatives à la consommation énergétique et au respect de la vie privée, il est préférable de laisser les objets agir au plus près des utilisateurs, si possible de manière autonome, au lieu de déléguer systématiquement l'ensemble des tâches à de grandes entités extérieures telles que le cloud. À cette fin, notre principale contribution porte sur la réalisation d'un système distribué de gestion de flux de données pour l'Internet des objets. Nous réexaminons notamment deux aspects clés du génie logiciel et des systèmes distribués : les architectures de services et le déploiement. Ainsi, nous apportons des solutions (i) pour l'accès aux flux de données sous la forme de services et (ii) pour le déploiement automatique des traitements continus en fonction des caractéristiques des appareils. Ces travaux sont concrétisés sous la forme d'un intergiciel, Dioptase, spécifiquement conçu pour être exécuté directement sur les objets et les transformer en fournisseurs génériques de services de calcul et de stockage.Pour valider nos travaux et montrer la faisabilité de notre approche, nous introduisons un prototype de Dioptase dont nous évaluons les performances en pratique. De plus, nous montrons que Dioptase est une solution viable, capable de s'interfacer avec les systèmes antérieurs de capteurs et d'actionneurs déjà déployés dans l'environnement. / The Internet of Things (IoT) is currently characterized by an ever-growing number of networked Things, i.e., devices which have their own identity together with advanced computation and networking capabilities: smartphones, smart watches, smart home appliances, etc. In addition, these Things are being equipped with more and more sensors and actuators that enable them to sense and act on their environment, enabling the physical world to be linked with the virtual world. Specifically, the IoT raises many challenges related to its very large scale and high dynamicity, as well as the great heterogeneity of the data and systems involved (e.g., powerful versus resource-constrained devices, mobile versus fixed devices, continuously-powered versus battery-powered devices, etc.). These challenges require new systems and techniques for developing applications that are able to (i) collect data from the numerous data sources of the IoT and (ii) interact both with the environment using the actuators, and with the users using dedicated GUIs. To this end, we defend the following thesis: given the huge volume of data continuously being produced by sensors (measurements and events), we must consider (i) data streams as the reference data model for the IoT and (ii) continuous processing as the reference computation model for processing these data streams. Moreover, knowing that privacy preservation and energy consumption are increasingly critical concerns, we claim that all the Things should be autonomous and work together in restricted areas as close as possible to the users rather than systematically shifting the computation logic into powerful servers or into the cloud. For this purpose, our main contribution can be summarized as designing and developing a distributed data stream management system for the IoT. In this context, we revisit two fundamental aspects of software engineering and distributed systems: service-oriented architecture and task deployment. We address the problems of (i) accessing data streams through services and (ii) deploying continuous processing tasks automatically, according to the characteristics of both tasks and devices. This research work lead to the development of a middleware layer called Dioptase, designed to run on the Things and abstract them as generic devices that can be dynamically assigned communication, storage and computation tasks according to their available resources. In order to validate the feasability and the relevance of our work, we implemented a prototype of Dioptase and evaluated its performance. In addition, we show that Dioptase is a realistic solution which can work in cooperation with legacy sensor and actuator networks currently deployed in the environment.

Det blir allt viktigare med en väl fungerande flödeskedja som kan hantera material och tjänster på ett så effektivt sätt som möjligt. Studier visar på att det är flödeskedjorna som konkurrerar med varandra och inte företagen, vilket medför att kedjorna behöver vara konkurrenskraftiga. Detta sker genom att de aktiviteter som flödeskedjan består av integreras med varandra för att minimera slöseri av värdefulla resurser. Den tekniska utvecklingen har möjliggjort effektiv integrering med hjälp av automatisering. Implementering och införande av automatisering i flödeskedjan ökar möjligheten till att integrera olika aktiviteter inom kedjan då det bland annat möjliggör datainsamling av information som kan delas och spridas genom hela flödeskedjan. Syftet med denna studie är att kartlägga och analysera flödeskedjan för materialförsörjning hos fallföretaget LKAB, för att sedan utreda huruvida de med hjälp av automatisering och utveckling av de processer som kedjan består av kan förbättra sin produktivitet. Studien fokuserar på processerna i materialförsörjningen ända från den hubbverksamhet som i dagsläget används, hela vägen till de interna slutkunderna, vilket är de anställda på LKAB. Målet med studien är att leverera konkreta förslag som är väl anpassade efter företagets miljö och som fokuserar på de interna slutkunderna. Utifrån den nulägesbild som togs fram med hjälp av intervjuer, observationer och genomgångar, tillsammans med den genomförda litteraturstudien, analyserades de olika processerna i flödeskedjan. Genom analysen framgick det bland annat att det arbete som utförs vid hubbverksamheten inte är integrerat med resterande delar av flödeskedjan. Utöver detta framgick det att det nuvarande arbetssättet vid centralförrådet och framförallt godsmottagningen involverar mycket manuellt men nödvändigt arbete. Litteraturstudien användes sedan för att utvärdera och identifiera tänkbara lösningar för att effektivisera dessa processer för att uppnå ökad produktivitet i flödeskedjan. Via studien framgick det att automatisering leder till ökad produktivitet genom bland annat avlastning av manuellt arbete, ökad arbetsproduktivitet och minskade ledtider. Utifrån detta studerades och analyserades tre olika automatiseringslösningar, streckkod-, RFID-, och IoT-lösningar. Resultatet visade på att de tre olika lösningarna har olika fördelar och utmaningar kopplade till en implementering hos fallföretaget. Av de tre lösningarna anses streckkoder vara minst fördelaktig men också medföra minst utmaningar, medan RFID och IoT är mer fördelaktiga men också är kopplade till större utmaningar. Rekommendationerna till LKAB är att optimera det befintliga arbetet med cross-docking som i nuläget utförs vid hubbverksamheten. Detta genom att utveckla uppdelningen av gods för att minska dubbelhantering av gods i flödeskedjan. Fallföretaget rekommenderas även att implementera RFID-, och IoT-märkning av gods, för att minimera den manuella hanteringen, öka spårbarheten och öka flexibiliteten. En implementering av dessa rekommendationer skapar möjlighet till att delar av det inkommande godset inte längre behöver hanteras i centralförrådet. Detta gäller för det gods som ska levereras direkt till de interna slutkunderna och därmed inte lagerläggas. / The importance of a well-functioning supply chain that can handle materials and services in the most efficient way possible is increasing. According to several studies it is the supply chains that compete with each other rather than the companies themselves, which implies requirements for competitive chains. This can be done by integrating the activities in the supply chain with each other, in order to minimize waste of valuable resources. The development of technology has enabled effective integration through automation. Implementation of automation in the supply chain increases the ability to integrate different activities within the chain, as it, among other things, enables data collection of information that can be shared and spread throughout the entire supply chain. The purpose of this study is to map and analyze the material supply chain at LKAB, followed by investigating whether, through automation and development of the consisting processes of the supply chain, they can improve their productivity. The study focuses on all the activities in the material supply chain, from the hub that is currently in use, to the internal end customer, which are the employees at LKAB. The purpose of the study is to develop concrete proposals that are well adapted to the company's environment and with focus on the internal end customers. Based on the image of the current situation, developed using interviews, observations and reviews, along with the conducted literature study, the different activities of the supply chain were analyzed. Through the analysis it was noted, among other things, that the work performed in the hub is not integrated with the remaining parts of the supply chain. In addition to this, it was found that the current procedure of work at the central warehouse, and especially the goods reception, involves a lot of manual but necessary work. The literature study was then used to evaluate and identify possible solutions to streamline these processes in order to achieve increased productivity in the supply chain. Through the study, it was found that automation leads to an increase in productivity though, among other things, relieving of manual work, increased labor productivity and reduced lead times. Based on this, three different automation solutions, barcode, RFID and IoT solutions were studied and analyzed. The results from this showed that the three different solutions have different advantages and challenges linked to an implementation at the case company. Out of the three solutions, barcodes are considered to be the least advantageous but it also involves the least amount of challenges, while RFID and IoT are more beneficial but in turn are connected to greater challenges. The recommendations to LKAB are firstly to optimize the already existing work with cross docking performed at the hub. This by developing the division of goods to reduce the dual processing of goods in the supply chain. The second recommendation to the case company is to implement RFID, and IoT marking of goods, to minimize manual handling, increase traceability, and increase flexibility. An implementation of these recommendations will also enable some parts of the incoming goods to no longer require being handled in the central warehouse. These parts include the goods that are to be delivered directly to the internal end customer and thus not being stored.

Les Réseaux de Capteurs Sans Fil (RCSF ou Wireless Sensor Network - WSN) sont l'une des technologies les plus importantes du 21ème siècle. La plupart des chercheurs et les analystes estiment que, dans un proche avenir, ces micro-capteurs seront intégrés partout dans l’environnement de notre vie quotidienne. Ces dernières années, l'Internet des Objets (Internet of Things - IoT) est également une des technologies émergentes qui se développe rapidement. Deux nouveaux standards permettent de déployer des réseaux sans fil de faible consommation énergétique connectés à internet : le protocole 6LowPAN (Low power Wireless Personal Area Networks) qui permet notamment d’apporter l’adressage IPv6 aux capteurs grâce à l’encapsulation et la compression des données et le protocole de routage RPL (IPv6 routing protocol for low-power and lossy network) qui permet à l’information de circuler dans les WSN de proche en proche à un faible coût énergétique. Bien que le développement de ces techniques soit extrêmement rapide, plusieurs problèmes causés principalement par le manque de ressources des micro-capteurs (puissance limitée de traitement, problèmes de bande passante et de connexion des liens avec perte de données, problème de ressource énergétique limitée) demeurent et doivent être résolus, notamment pour les applications agro-environnementales. / The wireless sensor network (WSN) is one of the most important technologies of the 21st century. Most researchers and technical analysts believe that in the near future, these micro-sensors will be integrated into the environment of our daily lives. In recent years, the IoT (Internet of Things) and WoT (Web of Things) technologies also have great forwarding. Especially, the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) protocol has allowed the use of IPv6 protocol stack in the field of WSN, thanks to its encapsulation and compression mechanisms in IPv6 packet header. Moreover, the RPL (IPv6 Routing Protocol for Low-power and Lossy Network) provides such a powerful routing function that can be applied for a variety of application scenarios. These two key standards of IoT and WoT technologies for WSN can be used in an IPv6 stack, and they will successfully achieve the connection between Internet and micro-sensors. Thus, due to the availability of IPv6 address (128-bit), all the communicating objects, such as smart device, sensor, and actuator, can be connected to the Internet. That is the greatest advantage brought by the IoT. Although the progress of these techniques is extremely fast, several issues caused by resource constraints of micro-sensor (limited processing power, bandwidth and lossy connection link, and energy), such as QoS, energy efficient, robustness and lifetime of WSN, and the most important, the special requirement of agricultural applications. Notice that Precision Agriculture is are still very challenging and waiting to be solved. Essentially, these open questions would dabble in the aspects like telemedicine, remote home automation, industrial control etc. Thus, the results obtained in this work will have a significant impact on both economic and scientific. Economically, it can offer a solution for WSN to support sustainable development in the field of agriculture automation. While scientifically, we will contribute to the routing protocol standardization of wireless micro-sensors in the domain of environmental monitoring.

The Internet of Things (IoT) is an emerging paradigm focusing on the inter-connection of things or devices to each other and to the users. Over time, the most of connections in IoT are shifting from ‘Human to Thing’ to ‘Thing to Thing’. This technology is anticipated to become an essential milestone in the development of smart homes to bring convenience and efficiency into our lives and our homes. But, by bringing this IoT technology into our homes there will be important implications for security in these technologies. Connecting every smart objects inside the home to the internet and to each other results in new security and privacy problems, e.g., confidentiality, authenticity, and integrity of data sensed and exchanged by objects. These technologies are very much vulnerable to different security attacks that make an IoT-based smart home unsecure to live in and therefore it is necessary to evaluate the security risks to judge the situation of the smart homes. For any technology to be successful and achieve widespread use, it needs to gain the trust of users by providing sufficient security and privacy assurance. As in all sectors, maintaining security will be a critical challenge to overcome. As homes are increasingly computerized and filled with devices, potential computer security attacks and their impact on residents need to be investigated. This report uses OCTAVE Allegro Methodology which focuses mainly on information assets and considers containers (technical, physical and people) and conducts a security risk assessment with the goal of highlighting various security flaws in IoT-based smart home, impacts and proposing countermeasures to the identified issues satisfying most of security requirements. Finally, it comes up with some recommendations to the users. The research findings documented into a thesis paper for secure IoT-based smart home systems and the resulted list and recommendations will be some useful contribution which can be used as a foundation for the specification of security requirements. For future work, the assessment will be extended to include more types of smart home applications rather than just typical one. / <p>Validerat; 20160620 (global_studentproject_submitter)</p>

Harvesting energy became one of the most prominent research topics around the world, not only for research institutes and universities but also for technology companies as well. Mainly focused on internet of things (IoT) applications, harvesting energy is a crucial factor for reducing costs that come with the use of batteries and increasing the devices’ working time. Simultaneous lightwave information and power transfer is a technique that seeks to use wireless optical communication to achieve both fundamental objectives in modern communication systems. This work presents the main techniques that are used to achieve SLIPT, a novel circuit that improves the standard methods and applications employing this circuit.

La sociedad está siendo testigo de una revolución digital que ha generado cambios en diversos ámbitos. Uno de estos cambios es la construcción de o la transformación de edificios comunes a Smart Buildings, lo que puede conseguir que varios aspectos como la seguridad, el consumo energético, entre otros, se gestionen de forma más eficiente. El desarrollo de Smart Buildings es acompañado del desarrollo de las tecnologías IoT (Internet of Things), las cuales son una opción de soporte para convertir un edificio en inteligente. El IoT, entre sus beneficios, permite que los entornos tecnológicos y físicos se puedan integrar y ha sido ampliamente involucrado en diversas industrias e iniciativas. Asimismo, entre sus áreas de aplicación se encuentra el ser utilizado para que los Smart Buildings puedan recopilar datos que les indiquen qué accionar realizar automáticamente. Siendo así, entre aquellas áreas donde el IoT tendría impactos significativos están la construcción, operación y administración de edificios para facilitar servicios, brindar funcionalidades eficientes y avanzar hacia objetivos de sostenibilidad. Por otra parte, el uso de arquitecturas tecnológicas ha permitido que varias empresas hayan logrado aprovechar las tecnologías de la información de forma óptima en sus procesos de mitigación de riesgos, capacidad de cambios en sus sistemas organizacionales, entre otros. Siendo así, la motivación del proyecto yace en brindar una arquitectura tecnológica para las implementaciones de Smart Buildings con IoT que permita a las organizaciones contar con un diseño guía y que puedan cambiar sus componentes según la complejidad y exigencia de sus requerimientos. / Society is witnessing a digital revolution that has caused changes in several fields. One of these changes is the construction of or the transformation of traditional buildings into Smart Buildings, which can ensure that many aspects such as security, energy consumption, among others, are managed efficiently. The development of Smart Buildings is followed by the development of IoT (Internet of Things) technologies, which are a support option to turn a building into a smart one. The IoT, among its benefits, allows technological and physical environments to be integrated and has been widely involved in various industries and initiatives. Also, among its areas of application is being used so that Smart Buildings can collect data that tells them what to do automatically. Thus, among those areas where the IoT would have significant impacts are the construction, operation, and administration of buildings to facilitate services, provide efficient functionalities and advance towards sustainability objectives. On the other hand, the use of technological architectures has conceded various companies to achieve optimal use of information technologies in their risk mitigation processes, the ability to change their organizational systems, among others. Thus, the motivation of the project lies in providing a technological architecture for the implementation of Smart Buildings with IoT that allows organizations to have a guide design and that they can change their components according to the complexity and requirement of their requirements. / Trabajo de investigación

Actualmente, Perú tiene la mayor tasa de mortalidad en la región respecto a accidentes de tránsito, alcanzando en Lima más de 50,000 siniestros vehiculares y más de 500 fallecidos al año, según la Policía Nacional del Perú. Esto se debe, principalmente, a la imprudencia de conductores y/o peatones, pero también a la demora en la atención debido a las condiciones del tránsito en la ciudad, lo que aumenta el índice de víctimas fatales. Las entidades locales responsables se encuentran desarrollando proyectos para el mejoramiento del tránsito, no obstante, se ha identificado que las soluciones actuales no cuentan con las características suficientes para poder cubrir los problemas presentados. El presente proyecto tiene como objetivo principal implementar una solución tecnológica basada en Smart Traffic para optimizar la identificación y atención de accidentes de tránsito en Lima Metropolitana, empleando infraestructura vial, tecnológica y soluciones analíticas. Esta solución consiste en la captura de datos a través de diversos dispositivos, el procesamiento y análisis de los datos a través de un motor de analítica, la ejecución de acciones en tiempo real para la detección y atención de los siniestros, y la presentación de resultados y reportes, todo soportado en la infraestructura vial existente y en tecnologías como Internet of Things, Big Data & Analytics y Cloud Computing. Asimismo, se ha realizado la validación del modelo propuesto en base a escenarios de prueba con métricas existentes, y se ha elaborado un plan de continuidad que asegure la viabilidad y alta disponibilidad de la propuesta. / Currently, Peru has the highest mortality rate in the region regarding traffic accidents, reaching more than 50,000 vehicle accidents in Lima and more than 500 deaths per year, according to Policía Nacional del Perú. This is mainly due to the recklessness of drivers and / or pedestrians, but also to the delay in attention due to the current traffic conditions in the city, which increases the rate of fatalities. Local entities in charge are developing projects to improve traffic, however, it has been identified that current solutions do not have sufficient characteristics to cover the problems presented. The main objective of this project is to implement a technological solution based on Smart Traffic to optimize the identification and attention of traffic accidents in Lima Metropolitana, using road infrastructure, technology and analytical solutions. This solution consists of data capture through various devices, data processing and analysis through an analytics engine, the execution of actions in real time for the detection and attention of traffic accidents, and the presentation of results. and reports, all supported by the existing road infrastructure and by technologies such as Internet of Things, Big Data & Analytics and Cloud Computing. Also, the proposed model has been validated based on test scenarios with existing metrics, and a continuity plan has been drawn up to ensure the viability and high availability of the proposal. / Tesis