This thesis introduces the circuit and system design of interactive Radio-Frequency Identification (RFID) for Internet of Things (IoT) applications. IoT has the vision of connectivity for anything, at anytime and anywhere. One of the most important characteristics of IoT is the automatic and massive interaction of real physical world (things and human) with the virtual Internet world.RFID tags integrated with sensors have been considered as one suitable technology for realizing the interaction. However, while it is important to have RFID tags with sensors as the input interaction, it is also important to have RFID tags with displays as the output interaction.Display interfaces vary based on the information and application scenarios. On one side, remote and centralized display interface is more suitable for scenarios such as monitoring and localization. On the other side, tag level display interface is more suitable for scenarios such as object identification and online to offline propagation. For tag level display, though a substantial number of researches have focused on introducing sensing functionalities to low power Ultra-High Frequency (UHF) RFID tags, few works address UHF RFID tags with display interfaces. Power consumption and integration with display of rigid substrate are two main challenges.With the recent emerging of Electronic Paper Display (EPD) technologies, it becomes possible to overcome the two challenges. EPD resembles ordinary ink on paper by characteristics of substrate flexibility, pattern printability and material bi-stability. Average power consumption of display is significantly reduced due to bi-stability, the ability to hold color for certain periods without power supplies. Among different EPD types, Electrochromic (EC) display shows advantage of low driving voltage compatible to chip supply voltage.Therefore this thesis designs a low power UHF RFID tag integrated in 180 nm CMOS process with inkjet-printed EC polyimide display. For applications where refresh rate is ultra-low (such as electronic label in retailing and warehouse), the wireless display tag is passive and supplied by the energy harvested from UHF RF wave. For applications where refresh rate is not ultra-low (such as object identification label in mass customized manufacturing), the wireless display tag is semi-passive and supplied by soft battery. It works at low average power consumption and with out-of-battery alert. For remote and centralized display, the limitations of uplink (from tags to reader) capacity and massive-tag information feedback in IoT scenarios is the main challenge. Compared to conventional UHF RFID backscattering whose data rate is limited within hundreds of kb/s, Ultra-wideband (UWB) transmission have been verified with the performance of Mb/s data rate with several tens of pJ/pulse energy consumption.Therefore, a circuit prototype of UHF/UWB RFID tag replacing UHF backscattering with UWB transmitter is implemented. It also consists of Analog-to-Digital Converter (ADC) and Electrocardiogram (ECG) electrodes for healthcare applications of real-time remote monitoring of multiple patients ECG signals. The ECG electrodes are fabricated on paper substrate by inkjet printing to improve patient comfort. Key contribution of the thesis includes: 1) the power management scheme and circuit design of passive UHF/UWB RFID display tag. The tag sensitivity (the input RF power) is -10.5 dBm for EC display driving, comparable to the performance of conventional passive UHF RFID tags without display functions, and -18.5 dBm for UWB transmission, comparable to the state-of-the-art performance of passive UHF RFID tag. 2) communication flow and circuit design of UHF/UWB RFID tag with ECG sensing. The optimum system throughout is 400 tags/second with 1.5 KHz ECG sampling rate and 10 Mb/s UWB pulse rate. / <p>QC 20151012</p>

The emergence of the Internet of Things (IoT) has increased the demand for networked, resource-constrained devices tremendously. Many of the devices used for IoT applications are designed to be resource-constrained, as they typically must be small, inexpensive, and powered by batteries. In this dissertation, we consider a number of challenges pertaining to these constraints: system support for energy efficiency; flash-based storage systems; programming, testing, and debugging; and safe and secure application execution. The contributions of this dissertation are made through five research papers addressing these challenges. Firstly, to enhance the system support for energy-efficient storage in resource-constrained devices, we present the design, implementation, and evaluation of the Coffee file system and the Antelope DBMS. Coffee provides a sequential write throughput that is over 92% of the attainable flash driver throughput, and has a constant memory footprint for open files. Antelope is the first full-fledged relational DBMS for sensor networks, and it provides two novel indexing algorithms to enable fast and energy-efficient database queries. Secondly, we contribute a framework that extends the functionality and increases the performance of sensornet checkpointing, a debugging and testing technique. Furthermore, we evaluate how different data compression algorithms can be used to decrease the energy consumption and data dissemination time when reprogramming sensor networks. Lastly, we present Velox, a virtual machine for IoT applications. Velox can enforce application-specific resource policies. Through its policy framework and its support for high-level programming languages, Velox helps to secure IoT applications. Our experiments show that Velox monitors applications' resource usage and enforces policies with an energy overhead below 3%. The experimental systems research conducted in this dissertation has had a substantial impact both in the academic community and the open-source software community. Several of the produced software systems and components are included in Contiki, one of the premier open-source operating systems for the IoT and sensor networks, and they are being used both in research projects and commercial products.

The rapid growth of the Internet of Things (IoT) introduces an additional challenge to the existing spectrum under-utilisation problem as large scale deployments of thousands devices are expected to require wireless connectivity. Dynamic Spectrum Access (DSA) has been proposed as a means of improving the spectrum utilisation of wireless systems. Based on the Cognitive Radio (CR) paradigm, DSA enables unlicensed spectrum users to sense their spectral environment and adapt their operational parameters to opportunistically access any temporally unoccupied bands without causing interference to the primary spectrum users. In the same context, CR inspired Machine-to-Machine (M2M) communications have recently been proposed as a potential solution to the spectrum utilisation problem, which has been driven by the ever increasing number of interconnected devices. M2M communications introduce new challenges for CR in terms of operational environments and design requirements. With spectrum sensing being the key function for CR, this thesis investigates the performance of spectrum sensing and proposes novel sensing approaches and models to address the sensing problem for cognitive M2M deployments. In this thesis, the behaviour of Energy Detection (ED) spectrum sensing for cognitive M2M nodes is modelled using the two-wave with dffi use power fading model. This channel model can describe a variety of realistic fading conditions including worse than Rayleigh scenarios that are expected to occur within the operational environments of cognitive M2M communication systems. The results suggest that ED based spectrum sensing fails to meet the sensing requirements over worse than Rayleigh conditions and consequently requires the signal-to-noise ratio (SNR) to be increased by up to 137%. However, by employing appropriate diversity and node cooperation techniques, the sensing performance can be improved by up to 11.5dB in terms of the required SNR. These results are particularly useful in analysing the eff ects of severe fading in cognitive M2M systems and thus they can be used to design effi cient CR transceivers and to quantify the trade-o s between detection performance and energy e fficiency. A novel predictive spectrum sensing scheme that exploits historical data of past sensing events to predict channel occupancy is proposed and analysed. This approach allows CR terminals to sense only the channels that are predicted to be unoccupied rather than the whole band of interest. Based on this approach, a spectrum occupancy predictor is developed and experimentally validated. The proposed scheme achieves a prediction accuracy of up to 93% which in turn can lead to up to 84% reduction of the spectrum sensing cost. Furthermore, a novel probabilistic model for describing the channel availability in both the vertical and horizontal polarisations is developed. The proposed model is validated based on a measurement campaign for operational scenarios where CR terminals may change their polarisation during their operation. A Gaussian approximation is used to model the empirical channel availability data with more than 95% confi dence bounds. The proposed model can be used as a means of improving spectrum sensing performance by using statistical knowledge on the primary users occupancy pattern.

The concept of the Internet of Things is driven by advancements of the Internet with the interconnection of heterogeneous smart objects using different networking and communication technologies. With the rapidly increasing number of interconnected devices present in the life of a person, providing authentication and secure communication between them is considered a key challenge. The integration of Wireless Sensor Networks in the Internet of Things creates new obstacles due to the necessity of finding a balance between the resources utilization and the applied security solutions. In multicast group communications, the energy consumption, bandwidth and processing overhead at the nodes are minimized in comparison to a point-to-point communication system. To securely transmit a message in order to maintain confidentiality of the data and the user’s privacy, usually involves human interaction or the pre-agreement upon some key, the latter unknown to an external attacker. In this thesis, the author proposed an authentication protocol based on the similar context between the correct devices and lightweight computationally secure group-key establishment, avoiding any kind of human involvement. The goal is achieved by having the devices calculate a fingerprint from their ambient context and through a fuzzy commitment scheme generating a commitment respectively opening value which is used to generate a common secret key between them. The tests are effected on real world data accumulated from different environments. The proposed scheme is based on elliptic curve cryptography and cryptographic one-way accumulators. Its feasibility is analyzed by implementing the group key establishment phase in the Contiki operating system and by simulating it with the Cooja simulator. Furthermore, the applicability of the protocol is analyzed and justified by an analysis of the storage overhead, communication overhead, and energy consumption. The simulator shows an energy consumption of only 112 mJ per node for group key establishment. The results obtained in this thesis demonstrate the feasibility of the scheme, it’s computational, and communication costs are further comparable to other similar approaches.

Os sistemas de auxílio à visitação de museus apresentam um grau de reúso de software baixo, dado que o volume de trabalhos publicados contendo a proposta de um novo sistema e/ou modelagem é consideravelmente elevado, e com grau de referenciação entre tais trabalhos próximo de zero. Além disso, diversos estudos neste domínio de aplicações utilizam técnicas de ciência de contexto e fazem uso de dispositivos de Internet das Coisas (IoT), o que agrava o grau de reúso devido à variedade de sensores e dispositivos existentes. Este trabalho apresenta a Museum Touring and Tutoring Product Line (MTTPL), linha de produtos orientada a serviços para o domínio dos sistemas de auxílio à visitação de museus. Os requisitos desta linha de produtos foram coletados principalmente dos resultados de um mapeamento sistemático feito sobre sistemas E-learning e dispositivos IoT. Como forma de avaliação preliminar da linha de produtos proposta, foi realizada uma prova de conceito em que a MTTPL foi instanciada, dando origem ao SmartICMC, um museu virtual para apoiar a visitação ao Museu da Fauna e Flora do ICMC-USP. A prova de conceito fornece indícios de que a linha de produtos proposta é válida e aplicável para sistemas de auxílio à visitação de museus. Como principal contribuição, espera-se que a MTTPL possa ser utilizada para instanciar outros sistemas deste domínio, aumentando o reúso dos assets providos pela linha de produtos. / Museum visitation assisting systems present a low software reuse degree, given that the amount of published papers containing a proposal for a new system and/or modeling is considerably elevated, and with a referring degree among those works near to zero. Besides, many studies on this application domain use context awareness techniques and Internet of Things (IoT) devices, aggravating software reuse degree due to the variety of existing IoT devices. This work presents the Museum Touring and Tutoring Product Line (MTTPL), a service-oriented product line for the museum visitation assisting systems domain. Requirements for this product line were collected mainly from the results of a systematic mapping about E-learning systems and IoT devices. As a preliminary evaluation of the proposed product line, a proof of concept was held in which MTTPL was instantiated, giving rise to SmartICMC, a virtual museum to support the visit to the ICMC-USP Museum of Fauna and Flora. The proof of concept provided evidence that the proposed product line is valid and applicable to museum visitation support systems. As a major contribution, it is expected that MTTPL can be used to instantiate other systems in this domain, increasing the reuse of the assets provided by the product line.

The world is facing new challenges caused by global warming and is puttingpressure on governments, companies and the civil society to act fast. Like all industries, the wine industry is affected by climate change and wine producers are simultaneously struggling to stay viable while competing on a global market. To become sustainable, transparency is needed in the supply chain so that stakeholders and consumers can influence it. In this study, blockchain technology is investigated as a possible technology that can increase sustainability, transparency and over-all efficiency in the supply chain. The study is a case study and takes place in South Africa. The study takes the perspective of small and medium sized enterprises because they are a big part of the market and has not been researched in this area. Empirical data was collected through interviews, observations and secondary data and it was analyzed through thematic analysis. The results show that there is a lot of administrative work in the industry where compliance and certifications take a lot of time and effort. The smaller wineries, that often want to focus on making good wine, have a harder time with the administrative work since the same person might have several roles or functions in the business. The current traceability system is also one of the best in the world but is largely paper based. In the discussion it is shown that the industry has some elements that would be good for a blockchain system but the smaller producers would probably not dare to invest in such a system since they need improvements in quality or efficiency to stay viable and the technology required is expensive. The thesis concludes that the industry has some structures in place that would be a good base for a blockchain system. This could add an extra level of security and trust to the system. The implementation for the small-scale producers seems far away since the technological requirements are expensive. / De rådande klimatförändringarna ställer nya krav på företag att ta ansvar för sina utsläpp och miljöpåverkningar. Därför blir det allt mer vanligt för företag att medvetet öka hållbarheten i sina värdekedjor eftersom det också blir allt viktigare för stakeholders och konsumenter. För att kunna sätta press på företag krävs dock transparens och med komplexa värdekedjor kan detta vara svårt att skapa. Därför krävs nya teknologier som kan hjälpa företag att öka transparens, effektivitet och integritet. Blockchain-teknologi är en relativt ny teknologi som med sina decentraliserade egenskaper har potential att användas i värdekedjan för att öka hållbarhet och transparens. Denna studie undersöker just det genom en fältstudie i den Sydafrikanska vinindustrin. Det är in riktadpå främst små- och medelstora företag och inkluderar också industriorganisationer för att bidra med en holistisk bild av värdekedjan för vin. Genom intervjuer, observationer och sekundärdata samlades empirisk data in och analyserades med tematisk data-analys. Resultaten visade att små-och medelstora vinproducenter fäktas med mycket administrativt arbete och har svårt att vara ekonomiskt hållbara på en global marknad. Spårbarheten i Sydafrika fungerar utmärkt och därför finns det redan viss infrastruktur på plats i landet som skulle kunna vara en grund till att utveckla ett blockchain-baserat system för att öka säkerheten, transparensen och minska administrativa kostnader för de mindre företagen. Ifall ett blockchain-system skulle implementeras skulle det troligtvis inte drivas av de små företagen även fast de hade gynnats mest, utan av större företag med finansiell kapacitet.

In the last couple of decades, there has been an unparalleled growth in number of people who can afford motorized vehicles. This is increasing the number of vehicles on roads at an alarming rate and existing infrastructure and conventional methods of traffic management are becoming inefficient both on highways and in urban areas. It is very important that our highways are up and running 24/7 as they not only provide a passage for human beings to move from one place to another, but also are the most important mode for intercity or international transfer of goods. There is an utter need of adapting the new world order, where daily processes are driven with the help of innovative technologies. It is highly likely that technological advancements like autonomous or connected vehicles, big data and the Internet of things can provide highway operators with a solution that might resolve unforeseeable challenges. This investigative exploratory research identifies and highlights the impact of new technological advancements in the automotive industry on highways and highway operators. The data for this research was collected on a Likert scale type online survey, from different organizations around the world (actively or passively involved in highway operations). The data was further tested for its empirical significance with non-parametric binomial and Wilcoxon signed rank tests, supported by a descriptive analysis. The results of this study are in line with theoretical and conceptual work done by several independent corporations and academic researchers. It is evident form the opinions of seasoned professionals that these technological advancements withhold the potential to resolve all potential challenges and revolutionize highway operations.

A Internet das Coisas, ou Internet of Things (IoT), representa um novo paradigma de integração de várias tecnologias e soluções de comunicação e encontra aplicações em muitos domínios diferentes, tais como ambientes inteligentes (residencial e comercial), automação industrial, saúde, agricultura de alta precisão, gerenciamento inteligente de energia (smart grids, conservação de energia em edifícios), transporte e logística, setor automotivo em geral, cidades inteligentes e muitas outras áreas. A realização da visão de IoT ainda necessita de mais investimentos em pesquisa e desenvolvimento devido à sua novidade e complexidade. Além das questões técnicas, a adoção em larga escala também é dificultada pela falta de clareza dos fatores determinantes na decisão de adoção destas tecnologias. A questão- problema que esse trabalho de pesquisa busca elucidar é o desafio da adoção de inovações baseadas na Internet das Coisas, mais especificamente fatores que afetam a decisão de adoção. O tema adoção de inovação é relevante para quem desenvolve a inovação e deseja que ela seja adotada e para quem tem que decidir se adota ou não uma inovação. Como a taxa de adoção é influenciada por fatores e decisões tanto do lado de quem fornece quando do lado de quem adota uma determinada inovação tecnológica, o trabalho se baseia em estudos que buscam integrar as diversas variáveis afim de refletir a natureza sistêmica deste processo. O modelo proposto pode ser aplicado tanto para quem adota quanto para quem fornece a inovação, integrando questões externas e internas à empresa, bem como questões da tecnologia IoT em si e do fornecedor. A pesquisa utiliza o modelo proposto em três estudos de caso com o objetivo de identificar e analisar os fatores de decisão de adoção da Internet das Coisas nas respectivas empresas, e apresenta sugestões de como aplicar o modelo na avaliação e eventual seleção de inovações tecnológicas, tanto do ponto de vista de quem fornece quanto de quem adota a inovação. / The Internet of things (IoT) represents a new paradigm of integration of various technologies and communication solutions, and finds applications in many different domains, such as intelligent environments (residential and commercial), industrial automation, health, high precision agriculture, intelligent power management (smart grids, energy conservation in buildings), transport and logistics, the automotive industry in general, smart cities and many other areas. The realization of the vision of IoT still requires more investment in research and development because of its novelty and complexity. Beyond the technical issues, large-scale adoption is also hampered by the lack of clarity of the determining factors in the decision of adoption of these technologies. The problem this research seeks to elucidate is the challenge of adopting innovations based on the Internet of things, more specifically factors that affect the adoption decision. The theme adoption of innovation is relevant to those who develop an innovation and want it to be adopted as well as for those who have to decide whether to adopt an innovation or not. As the adoption rate is influenced by factors and decisions that lie both on the side of the supplier as well as the adopter of a particular technological innovation, this work is based on studies that seek to integrate variables from both sides in order to reflect the systemic nature of this process. The proposed model can be applied to both suppliers and adopters of the technological innovation, integrating factors that are external and internal to the company, as well as factors of the IoT technology and factors of the supplier. This research used the proposed model in three case studies in order to identify and analyze the factors of decision of adoption of the Internet of things in each company, and offers suggestions of how to apply the model in the evaluation and eventual selection of technological innovations, both from the point of view of suppliers as well as adopters of the innovation.

É cada vez mais notável o desenvolvimento da indústria micro-eletrônica. A criação de dispositivos eletrônicos menores, que apresentam maior autonomia de energia, aliados ao aumento do poder de processamento, armazenamento e comunicação sem fio de alta velocidade favoreceram o surgimento e disseminação de novas tecnologias e paradigmas, dentre elas a Internet das Coisas (IoT). Do ponto de vista tecnológico, IoT é uma rede de objetos físicos que possuem tecnologia embarcada de sensoriamento e atuação. Agências de consultoria empresarial, tais como a McKinsey & Company, afirmam que IoT apresenta valor de mercado bilionário e poderá ultrapassar a casa dos trilhões antes de 2020. Dessa forma, o mercado de IoT vem se apresentando como um dos mercados mais promissores para os próximos anos. Alguns dos problemas que podem postergar este crescimento são os problemas decorrentes da dificuldade de integração e escalabilidade das aplicações de IoT. Em IoT, problemas de interoperabilidade são corriqueiros, seja pela alta diversidade de dispositivos empregados, seja pela incompatibilidade entre fabricantes. Em relação a escalabilidade, sistemas de IoT possuem uma demanda natural por alta escala, visto que buscam atender demandas comuns a vários setores, seja na indústria, transporte, domótica, segurança pública, comércio, entre outros. Este trabalho apresenta uma solução para esses problemas através do SWoTPAD, um framework formal que auxilia o projetista no desenvolvimento de soluções para IoT. SWoTPAD oferece uma linguagem para especificar dispositivos e serviços, descrever o ambiente e realizar requisições. Adicionalmente, ele gera o módulo de descoberta, composição automática de serviços e execução. Aplicações SWoTPAD são facilmente integráveis, pois usam e estendem um mesmo conjunto de ontologias, o que garante a compatibilidade nos dados gerados e consumidos por essas aplicações. A escalabilidade advém da associação de anotações semânticas a cada um dos elementos que compõem a aplicação de IoT. Essas anotações permitem ao SWoTPAD descobrir, classificar, selecionar e compor automaticamente serviços do ambiente. Dessa forma, SWoTPAD pode procurar por soluções alternativas, quando o serviço original apto a atender uma determinada demanda se encontra sobrecarregado ou indisponível. Para validação do framework, foram adotados dois estudos de caso. O primeiro deles, o problema de implantação de serviços em um ambiente de nuvem, e o segundo, uma aplicação de segurança residencial. O estudo de caso demonstrou que é possível desenvolver aplicações completas de IoT no framework proposto. Adicionalmente, o mecanismo de composição automática gerado pelo framework para essas aplicações apresenta uma piora média de 45% de desempenho quando comparado à composição manual. / The development of the micro-electronics industry is becoming more and more remarkable. The creation of smaller electronic devices, with higher degree of autonomy, processing, storage, and wireless communication favor the emergence and dissemination of new technologies and paradigms, such as the Internet of Things (IoT ). From the technological point of view, IoT is a network of physical objects that have embedded technology of sensing and actuation. McKinsey & Company says the IoT market is already reaching billionaire numbers and may exceed the trillions by 2020. Thus, the IoT market is proving to be one of the most promising markets in the next years. Problems that can delay this growth come from the difficulty of integration and scalability of IoT applications. In IoT, interoperability problems are common, either because of the high diversity of devices used, or because of the incompatibility between manufacturers. Regarding scalability, IoT systems have a natural demand for high scale, since they seek to meet common demands in various sectors, be it in industry, transportation, home automation, public safety, commerce, among others. This work solves these problems through SWoTPAD, a formal framework that assists the designer in developing solutions for IoT. SWoTPAD provides a language for specifying devices and services, describing the environment, and performing requests. Additionally, it generates the discovery, automatic service composition, and execution module. SWoTPAD applications are easily integrable, since they use and extend the same set of ontologies, which guarantees compatibility in the data generated and consumed by these applications. Scalability comes from the association of semantic annotations to each of the elements that compose the IoT application. These annotations allow SWoTPAD to discover, rank, select, and automatically compose services. In this way, SWoTPAD can search for alternative solutions, when the original service able to meet a particular demand is overloaded or unavailable. Two case studies were developed for validation of the framework. The first one, the problem of deploying services in a cloud environment, and the second, a home security system. The case study demonstrated that it is possible to develop complete IoT applications in the proposed framework. Also, the automatic service composition module generated by SWoTPAD for these applications has a mean worsening of 45 % of performance when compared to the manual composition.

A próxima geração da Internet aponta para um cenário onde trilhões de pessoas e objetos estarão interconectados e acessíveis a qualquer momento e em qualquer lugar. Um dos pilares desta nova geração é o paradigma conhecido como Internet das Coisas, que tem atraído pesquisas em diferentes domínios, entre eles, saúde, indústria, logística, cidades inteligentes, casas inteligentes e agronegócio. No contexto do agronegócio, a Internet das Coisas tem avançado em aplicações de rastreabilidade das cadeias de suprimentos com produtos de alto valor agregado, por exemplo, a cadeia do vinho. Entretanto, o desenvolvimento de aplicações para rastreabilidade dessa cadeia não está suportado por uma arquitetura baseada em Internet das Coisas. Além disso, os sistemas de rastreabilidade das cadeias de suprimentos atuais não contemplam amplamente o paradigma da Internet das Coisas em sua premissa de interconexão entre os agentes da cadeia. Dessa forma, esta tese propõe uma arquitetura em camadas baseada no paradigma de Internet das Coisas para rastreabilidade da cadeia de suprimentos do vinho. Para isso foi realizado o levantamento de requisitos, a identificação dos interessados no sistema (stakeholders) suas preocupações, identificação dos atributos de qualidade e a relevância de cada um deles. De posse de uma arquitetura candidata foi implementado um sistema em um caso real para refinamento dos componentes da arquitetura. A avaliação da arquitetura proposta em diferentes parâmetros mostra sua adequação tanto ao paradigma de Internet das Coisas quanto às necessidades dos stakeholders da cadeia de suprimentos do vinho. Dessa forma é possível afirmar que os sistemas implementados a partir da arquitetura proposta tendem a ser escaláveis, seguros, adaptativos, disponíveis e que suportam a interconexão entre os agentes da cadeia de suprimentos, desde a produção do vinho até o seu descarte. / The next-generation Internet points to a scenario where trillions of objects and people are interconnected and accessible anytime and anywhere. One of the pillars of this new generation is the paradigm known as Internet of Things. This paradigm has attracted research in different domains, including, health, industry, logistics, smart cities, smart homes and agribusiness. In the context of agribusiness, the Internet of Things has advanced in applications of traceability of supply chains with products of high added value, for example, the wine chain. However, the development of applications for traceability in the wine supply chain is not supported by an architecture Internet of Things-based. In addition, current supply chain traceability systems do not broadly address the Internet of Things paradigm in its premise of interconnection among chain agents. Thus, this thesis proposes a layered architecture based on the Internet of Things paradigm for traceability of the wine supply chain. To do this, requirements were surveyed, the identification of the stakeholders in the system their concerns, identification of quality attributes and the relevance of each one of them. A candidate system was implemented in a real case for the refinement of architectural components. The evaluation of the architecture proposed in different parameters shows its adequacy both to the Internet paradigm of Things and to the needs of the stakeholders of the wine supply chain. In this way it is possible to affirm that the systems implemented from the proposed architecture are scalable, secure, adaptive, available and that support the interconnection between the agents of the supply chain, from its wine production to its disposal.