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The Internet of Things (IoT) is growing at a fast pace with new devices getting connected all the time. A new emerging group of these devices is the wearable devices, and the wireless sensor networks are a good way to integrate them in the IoT concept and bring new experiences to the daily life activities. In this paper, we present an everyday life application involving a WSN as the base of a novel context-awareness sports scenario, where physiological parameters are measured and sent to the WSN by wearable devices. Applications with several hardware components introduce the problem of heterogeneity in the network. In order to integrate different hardware platforms and to introduce a service-oriented semantic middleware solution into a single application, we propose the use of an enterprise service bus (ESB) as a bridge for guaranteeing interoperability and integration of the different environments, thus introducing a semantic added value needed in the world of IoT-based systems. This approach places all the data acquired (e.g., via internet data access) at application developers disposal, opening the system to new user applications. The user can then access the data through a wide variety of devices (smartphones, tablets, and computers) and operating systems (Android, iOS, Windows, Linux, etc.).

This paper describes a method aimed at automatically determining security services to be implementedin products, services and devices involved on the Internet of Things scenarios. It is important toconsider the specific context, legislative diversity and nature of the information since its main objective is to have correct and fair data processing that avoids users in perceiving any danger to their privacy. This paper gives a brief overview based on several types of security threat scenarios. It tries tointroduce “Utility Matrix” concept that connects involved users, their security needs, and legal imperatives all together. Based on “Utility Matrix”, an expert system is proposed in order to automatesecurity service decisions and solution for personal data protection on the area of Internet of Things. Different approaches are presented, and several applied use cases are given for AWARE product, such as application. This automated system is in the development phase. Nevertheless, this project has toconnect areas of the Industry to the judicial and technology, taking into account that users are in themiddle of the scenario. As a result of this project, a certificate of personal data protection to users and companies could be obtained. It could be a tool to simulate and evaluate the impact of new services, new laws, and new needs in technology and research.

Wireless Sensor Networks (WSNs) are spearheading the efforts taken to build and deploy systems aiming to accomplish the ultimate objectives of the Internet of Things. Due to the sensors WSNs nodes are provided with, and to their ubiquity and pervasive capabilities, these networks become extremely suitable for many applications that so-called conventional cabled or wireless networks are unable to handle. One of these still underdeveloped applications is monitoring physical parameters on a person. This is an especially interesting application regarding their age or activity, for any detected hazardous parameter can be notified not only to the monitored person as a warning, but also to any third party that may be helpful under critical circumstances, such as relatives or healthcare centers. We propose a system built to monitor a sportsman/woman during a workout session or performing a sport-related indoor activity. Sensors have been deployed by means of several nodes acting as the nodes of a WSN, along with a semantic middleware development used for hardware complexity abstraction purposes. The data extracted from the environment, combined with the information obtained from the user, will compose the basis of the services that can be obtained.

New Internet-based technologies are transforming the business model around the world. This paper will discuss the role of new competitive watch and intelligence platforms in a business practical case. We review the different information sources in combination with other data (like financial data or social media) to create intelligence. Analyzing tools allow detecting connections between data so that the company can identify changes, adapt its products to new customers or anticipate market movements. Practical business case is presented using VicuboCloud™ solution for collecting and analyzing information for decision-making.

Applications based on Wireless Sensor Networks for Internet of Things scenarios are on the rise. The multiple possibilities they offer have spread towards previously hard to imagine fields, like e-health or human physiological monitoring. An application has been developed for its usage in scenarios where data collection is applied to smart spaces, aiming at its usage in fire fighting and sports. This application has been tested in a gymnasium with real, non-simulated nodes and devices. A Graphic User Interface has been implemented to suggest a series of exercises to improve a sportsman/woman s condition, depending on the context and their profile. This system can be adapted to a wide variety of e-health applications with minimum changes, and the user will interact using different devices, like smart phones, smart watches and/or tablets.

The traditional power grid is just a one-way supplier that gets no feedback data about the energy delivered, what tariffs could be the most suitable ones forcustomers, the shifting daily needs of electricity in a facility, etc. Therefore, it is only natural that efforts are being invested in improving power grid behavior and turning it into a Smart Grid. However, to this end, several components have to be either upgraded or created from scratch. Among the new components required,middleware appears as a critical one, for it will abstract all the diversity of the used devices for power transmission (smart meters, embedded systems, etc.) and will provide the application layer with a homogeneous interface involving power production and consumption management data that were not able to be provided before. Additionally, middleware is expected to guarantee that updates to the current metering infrastructure (changes in service or hardware availability) or any added legacy measuring appliance will get acknowledged for any future request. Finally, semantic features are of major importance to tackle scalability and interoperability issues. A survey on the most prominent middleware architectures for Smart Grids is presented in this paper, along with an evaluation of their features and their strong points and weaknesses.

 Las nuevas tecnologías basadas en internet están transformando los modelos de negocio en todo el mundo. Se plantea el uso de las nuevas plataformas de vigilancia tecnológica e inteligencia competitiva en unos casos prácticos en el entorno empresarial. Se repasan las diferentes fuentes de información en combinación con otros datos (como información tecnológica y datos financieros) para la creación de inteligencia. Las herramientas de análisis permiten detectar relaciones entre los datos de manera que las organizaciones pueden identificar cambios, adaptar sus productos a nuevos consumidores o anticipar los movimientos del mercado. Se describen 3 casos prácticos usando la solución VicuboCloud en la recolección y análisis de información para la toma de decisiones.

New internet-based technologies are transforming the business model around the world. The use of new competitive watch and intelligence platforms is discussed. We review the information sources used in combination with other data (e.g., financial and technological data) to create intelligence. Analytical tools allow the detection of connections between data so that the company can identify changes, adapt products to new customers, or anticipate market movements. Three practical cases are presented using the VicuboCloud solution to collect and analyze information for decision-making.

Among the main features that are intended to become part of what can be expected from the Smart City, one of them should be an improved energy management system, in order to benefit from a healthier relation with the environment, minimize energy expenses, and offer dynamic market opportunities. A Smart Grid seems like a very suitable infrastructure for this objective, as it guarantees a two-way information flow that will provide the means for energy management enhancement. However, to obtain all the required information, another entity must care about all the devices required to gather the data. What is more, this entity must consider the lifespan of the devices within the Smart Grid—when they are turned on and off or when new appliances are added—along with the services that devices are able to provide. This paper puts forward SMArc—an acronym for semantic middleware architecture—as a middleware proposal for the Smart Grid, so as to process the collected data and use it to insulate applications from the complexity of the metering facilities and guarantee that any change that may happen at these lower levels will be updated for future actions in the system.

Wireless sensor networks (WSNs) consist of thousands of nodes that need to communicate with each other. However, it is possible that some nodes are isolated from other nodes due to limited communication range. This paper focuses on the influence of communication range on the probability that all nodes are connected under two conditions, respectively: (1) all nodes have the same communication range, and (2) communication range of each node is a random variable. In the former case, this work proves that, for 0 < ε < e - 1, if the probability of the network being connected is 0.36 ε, by means of increasing communication range by constant C (ε), the probability of network being connected is at least 1 - ε. Explicit function C (ε) is given. It turns out that, once the network is connected, it also makes the WSNs resilient against nodes failure. In the latter case, this paper proposes that the network connection probability is modeled as Cox process. The change of network connection probability with respect to distribution parameters and resilience performance is presented. Finally, a method to decide the distribution parameters of node communication range in order to satisfy a given network connection probability is developed.