Network-aware video streaming for future media Internet

272 p

Telecommunication Economics

This book constitutes a collaborative and selected documentation of the scientific outcome of the European COST Action IS0605 Econ@Tel "A Telecommunications Economics COST Network" which run from October 2007 to October 2011. Involving experts from around 20 European countries, the goal of Econ@Tel was to develop a strategic research and training network among key people and organizations in order to enhance Europe's competence in the field of telecommunications economics. Reflecting the organization of the COST Action IS0605 Econ@Tel in working groups the following four major research areas are addressed: - evolution and regulation of communication ecosystems; - social and policy implications of communication technologies; - economics and governance of future networks; - future networks management architectures and mechanisms

Telecommunication Economics

This book constitutes a collaborative and selected documentation of the scientific outcome of the European COST Action IS0605 Econ@Tel "A Telecommunications Economics COST Network" which run from October 2007 to October 2011. Involving experts from around 20 European countries, the goal of Econ@Tel was to develop a strategic research and training network among key people and organizations in order to enhance Europe's competence in the field of telecommunications economics. Reflecting the organization of the COST Action IS0605 Econ@Tel in working groups the following four major research areas are addressed: - evolution and regulation of communication ecosystems; - social and policy implications of communication technologies; - economics and governance of future networks; - future networks management architectures and mechanisms

Review and Analysis of mHealth Applications : Development and Evaluation of a Heart Diseases Self-Management App

Este trabajo tiene dos objetivos principales. El primero es realizar una revisión de las apps móviles existentes centradas en enfermedades o condiciones no comunicables, especialmente en el campo de la cardiología. Esta revisión se basó en las condiciones más prevalentes, las enfermedades líderes en mortalidad y las enfermedades cardíacas. Fue además complementada con una revisión de Sistemas de Ayuda a la Decisión Móviles (SADM). El segundo objetivo es el diseño, creación y desarrollo de una app móvil innovadora en el campo de la cardiología, con el objetivo de copar un hueco comercial encontrado en la revisión anterior. Para llevar a cabo dicho objetivo, varios estudios fueron realizados para solucionar los problemas encontrados. La experiencia aprendida es compartida con investigadores y desarrolladores con el objetivo de ayudarles en el proceso de creación de apps de mSaludDepartamento de Teoría de la Señal y Comunicaciones, e Ingeniería Telemátic

Personalized data analytics for internet-of-things-based health monitoring

The Internet-of-Things (IoT) has great potential to fundamentally alter the delivery of modern healthcare, enabling healthcare solutions outside the limits of conventional clinical settings. It can offer ubiquitous monitoring to at-risk population groups and allow diagnostic care, preventive care, and early intervention in everyday life. These services can have profound impacts on many aspects of health and well-being. However, this field is still at an infancy stage, and the use of IoT-based systems in real-world healthcare applications introduces new challenges. Healthcare applications necessitate satisfactory quality attributes such as reliability and accuracy due to their mission-critical nature, while at the same time, IoT-based systems mostly operate over constrained shared sensing, communication, and computing resources. There is a need to investigate this synergy between the IoT technologies and healthcare applications from a user-centered perspective. Such a study should examine the role and requirements of IoT-based systems in real-world health monitoring applications. Moreover, conventional computing architecture and data analytic approaches introduced for IoT systems are insufficient when used to target health and well-being purposes, as they are unable to overcome the limitations of IoT systems while fulfilling the needs of healthcare applications. This thesis aims to address these issues by proposing an intelligent use of data and computing resources in IoT-based systems, which can lead to a high-level performance and satisfy the stringent requirements. For this purpose, this thesis first delves into the state-of-the-art IoT-enabled healthcare systems proposed for in-home and in-hospital monitoring. The findings are analyzed and categorized into different domains from a user-centered perspective. The selection of home-based applications is focused on the monitoring of the elderly who require more remote care and support compared to other groups of people. In contrast, the hospital-based applications include the role of existing IoT in patient monitoring and hospital management systems. Then, the objectives and requirements of each domain are investigated and discussed. This thesis proposes personalized data analytic approaches to fulfill the requirements and meet the objectives of IoT-based healthcare systems. In this regard, a new computing architecture is introduced, using computing resources in different layers of IoT to provide a high level of availability and accuracy for healthcare services. This architecture allows the hierarchical partitioning of machine learning algorithms in these systems and enables an adaptive system behavior with respect to the user's condition. In addition, personalized data fusion and modeling techniques are presented, exploiting multivariate and longitudinal data in IoT systems to improve the quality attributes of healthcare applications. First, a real-time missing data resilient decision-making technique is proposed for health monitoring systems. The technique tailors various data resources in IoT systems to accurately estimate health decisions despite missing data in the monitoring. Second, a personalized model is presented, enabling variations and event detection in long-term monitoring systems. The model evaluates the sleep quality of users according to their own historical data. Finally, the performance of the computing architecture and the techniques are evaluated in this thesis using two case studies. The first case study consists of real-time arrhythmia detection in electrocardiography signals collected from patients suffering from cardiovascular diseases. The second case study is continuous maternal health monitoring during pregnancy and postpartum. It includes a real human subject trial carried out with twenty pregnant women for seven months

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate

Performance Evaluation of Smart Decision Support Systems on Healthcare

Medical activity requires responsibility not only from clinical knowledge and skill but also on the management of an enormous amount of information related to patient care. It is through proper treatment of information that experts can consistently build a healthy wellness policy. The primary objective for the development of decision support systems (DSSs) is to provide information to specialists when and where they are needed. These systems provide information, models, and data manipulation tools to help experts make better decisions in a variety of situations. Most of the challenges that smart DSSs face come from the great difficulty of dealing with large volumes of information, which is continuously generated by the most diverse types of devices and equipment, requiring high computational resources. This situation makes this type of system susceptible to not recovering information quickly for the decision making. As a result of this adversity, the information quality and the provision of an infrastructure capable of promoting the integration and articulation among different health information systems (HIS) become promising research topics in the field of electronic health (e-health) and that, for this same reason, are addressed in this research. The work described in this thesis is motivated by the need to propose novel approaches to deal with problems inherent to the acquisition, cleaning, integration, and aggregation of data obtained from different sources in e-health environments, as well as their analysis. To ensure the success of data integration and analysis in e-health environments, it is essential that machine-learning (ML) algorithms ensure system reliability. However, in this type of environment, it is not possible to guarantee a reliable scenario. This scenario makes intelligent SAD susceptible to predictive failures, which severely compromise overall system performance. On the other hand, systems can have their performance compromised due to the overload of information they can support. To solve some of these problems, this thesis presents several proposals and studies on the impact of ML algorithms in the monitoring and management of hypertensive disorders related to pregnancy of risk. The primary goals of the proposals presented in this thesis are to improve the overall performance of health information systems. In particular, ML-based methods are exploited to improve the prediction accuracy and optimize the use of monitoring device resources. It was demonstrated that the use of this type of strategy and methodology contributes to a significant increase in the performance of smart DSSs, not only concerning precision but also in the computational cost reduction used in the classification process. The observed results seek to contribute to the advance of state of the art in methods and strategies based on AI that aim to surpass some challenges that emerge from the integration and performance of the smart DSSs. With the use of algorithms based on AI, it is possible to quickly and automatically analyze a larger volume of complex data and focus on more accurate results, providing high-value predictions for a better decision making in real time and without human intervention.A atividade médica requer responsabilidade não apenas com base no conhecimento e na habilidade clínica, mas também na gestão de uma enorme quantidade de informações relacionadas ao atendimento ao paciente. É através do tratamento adequado das informações que os especialistas podem consistentemente construir uma política saudável de bem-estar. O principal objetivo para o desenvolvimento de sistemas de apoio à decisão (SAD) é fornecer informações aos especialistas onde e quando são necessárias. Esses sistemas fornecem informações, modelos e ferramentas de manipulação de dados para ajudar os especialistas a tomar melhores decisões em diversas situações. A maioria dos desafios que os SAD inteligentes enfrentam advêm da grande dificuldade de lidar com grandes volumes de dados, que é gerada constantemente pelos mais diversos tipos de dispositivos e equipamentos, exigindo elevados recursos computacionais. Essa situação torna este tipo de sistemas suscetível a não recuperar a informação rapidamente para a tomada de decisão. Como resultado dessa adversidade, a qualidade da informação e a provisão de uma infraestrutura capaz de promover a integração e a articulação entre diferentes sistemas de informação em saúde (SIS) tornam-se promissores tópicos de pesquisa no campo da saúde eletrônica (e-saúde) e que, por essa mesma razão, são abordadas nesta investigação. O trabalho descrito nesta tese é motivado pela necessidade de propor novas abordagens para lidar com os problemas inerentes à aquisição, limpeza, integração e agregação de dados obtidos de diferentes fontes em ambientes de e-saúde, bem como sua análise. Para garantir o sucesso da integração e análise de dados em ambientes e-saúde é importante que os algoritmos baseados em aprendizagem de máquina (AM) garantam a confiabilidade do sistema. No entanto, neste tipo de ambiente, não é possível garantir um cenário totalmente confiável. Esse cenário torna os SAD inteligentes suscetíveis à presença de falhas de predição que comprometem seriamente o desempenho geral do sistema. Por outro lado, os sistemas podem ter seu desempenho comprometido devido à sobrecarga de informações que podem suportar. Para tentar resolver alguns destes problemas, esta tese apresenta várias propostas e estudos sobre o impacto de algoritmos de AM na monitoria e gestão de transtornos hipertensivos relacionados com a gravidez (gestação) de risco. O objetivo das propostas apresentadas nesta tese é melhorar o desempenho global de sistemas de informação em saúde. Em particular, os métodos baseados em AM são explorados para melhorar a precisão da predição e otimizar o uso dos recursos dos dispositivos de monitorização. Ficou demonstrado que o uso deste tipo de estratégia e metodologia contribui para um aumento significativo do desempenho dos SAD inteligentes, não só em termos de precisão, mas também na diminuição do custo computacional utilizado no processo de classificação. Os resultados observados buscam contribuir para o avanço do estado da arte em métodos e estratégias baseadas em inteligência artificial que visam ultrapassar alguns desafios que advêm da integração e desempenho dos SAD inteligentes. Como o uso de algoritmos baseados em inteligência artificial é possível analisar de forma rápida e automática um volume maior de dados complexos e focar em resultados mais precisos, fornecendo previsões de alto valor para uma melhor tomada de decisão em tempo real e sem intervenção humana

Contributions to provide a QoS-aware self-configured framework for video-streaming services over ad hoc networks

Aplicat embargament des del dia 27 d'octubre de 2021 fins 31 de juliol de 2022Ad hoc networks have attracted much attention from the research community over the last years and important technical advances have risen as a consequence. These networks are foreseen as an important kind of next generation access networks, where multimedia services will be demanded by end users from their wireless devices everywhere. In this thesis, we specially focus our research work on mobile ad hoc networks (MANETs) and on vehicular ad hoc networks (VANETs), two kind of ad hoc networks over which interesting multimedia services can be provided. The special haracteristics of MANETs/VANETs, such as mobility, dynamic network topology (specially in VANETs), energy constraints (in case of MANETs), infrastructureless and variable link capacity, make the QoS (Quality of Service) provision over these networks an important challenge for the research community. Due to that, there is a need to develop new routing protocols specially designed for MANETs and VANETs able to provide multimedia services. The main objective of this thesis is to contribute in the development of the communication framework for MANETs and VANETs to improve decisions to select paths or next hops in the moment of forwarding video-reporting messages. In this way, it would be possible to have a quick answer to manage daily problems in the city and help the emergency units (e.g., police, ambulances, health care units) in case of incidents (e.g., traffic accidents). Furthermore, in case of VANETs, a real scenario must be created and thus we have analysed the presence of obstacles in real maps. Also, in case of an obstacle found between the current forwarding node and the candidate next forwarding node, the packet is stored in a buffer, for a maximum time, until a forwarding neighbour node is found; otherwise, the packet is dropped. To improve the communication framework for MANETs, we propose a new routing protocol based on a game-theoretical scheme for N users specially designed to transmit video-reporting messages. Our proposal makes the network more efficient and provides a higher degree of satisfaction of the users by receiving much more packets with a lower average end-to-end delay, lower jitter and higher PSNR (Peak Signal-to-Noise Ratio). In addition, we propose a geographical routing protocol for VANETs that considers multiple metrics named 3MRP (Multimedia Multimetric Map-Aware Routing Protocol) [1]. 3MRP is a geographical protocol based on hop-by-hop forwarding. The metrics considered in 3MRP are the distance, the density of vehicles in transmission range, the available bandwidth, the future trajectory of the neighbouring nodes and the MAC layer losses. Those metrics are weighted to obtain a multimetric score. Thus, a node selects another node among its neighbours as the best forwarding node to increase the percentage of successful packet delivery, minimizing the average packet delay and offering a certain level of quality and service. Furthermore, a new algorithm named DSW (Dynamic Self-configured Weights) computes for each metric its corresponding weight depending on the current network conditions. As a consequence, nodes are classiffied in a better way.Les xarxes sense fils ad hoc han captat molt l'atenció per part de la comunitat científica en els últims anys, a més dels importants avenços tècnics que han sorgit. Aquestes xarxes es preveuen com un tipus important de xarxes d'accés de nova generació, a on els serveis multimèdia seran requerits pels usuaris a través dels seus dispositius sense fils desde tot arreu. En aquesta tesi, centrem el nostre treball especialment en les xarxes mòbils ad hoc (MANET, Mobile Ad hoc Network) i en les xarxes vehiculars ad hoc (VANET, Vehicular Ad hoc Network). Les característiques especials de les MANETs i les VANETs, com la mobilitat, la topologia dinàmica de la xarxa (especialment en VANETs), les restriccions de bateria (en cas de MANETs), l'absència d'infrastructura i la capacitat variable de l'enllaç sense fil fa que la provisió de la qualitat de servei en aquestes xarxes sigui un repte important per a la comunitat científica. A causa d'això, hi ha la necessitat de desenvolupar nous protocols d'encaminament especialment dissenyats per a MANETs i VANETs capaços de proporcionar els serveis de multimèdia requerits. L'objectiu principal d'aquesta tesi és proveir millores en la comunicació per a les xarxes ad hoc MANET i VANET per millorar les decisions a l'hora de seleccionar els propers camins o nodes, respectivament, en el moment de l'enviament de les trames del video. D'aquesta manera serà possible tenir una resposta ràpida per resoldre els problema diaris a la ciutat i ajudar a les unitats d'emergència (per exemple, policia, ambulàncies, unitats de salut) en cas d'incidents, com ara els accidents de trànsit. Per analitzar adequadament les nostres propostes sobre VANETs hem dissenyat un entorn de simulació realista que incorpora la presència d'edificis en mapes reals i en el cas que hi hagi un obstacle entre el node actual i el candidat per a ser el pròxim salt el paquet s'emmagatzema en un buffer, per un temps màxim, fins a trobar un nou candidat; en cas contrari, es descarta el paquet. Per millorar les comunicacions en les MANETs, proposem un nou protocol d'encaminament basat en teoria de jocs per a N usuaris especialment dissenyat per a enviar missatges de vídeo. Això fa que la xarxa sigui més eficient, i així s'aconsegueix un major grau de satisfacció dels usuaris en rebre molts més paquets amb un menor retard mig extrem a extrem, menor variació del retard (jitter ) i major PSNR (Relació Senyal Soroll de Pic) . A més, es proposa un protocol d'encaminament geogràfic basat en el reenviament hop-by-hop per a VANETs anomenat 3MRP (Multimedia Multimetric Map-Aware Routing Protocol ) [1] que prèn en consideració múltiples mètriques. Les mètriques considerades en 3MRP són la distància a destinació, la densitat de vehicles en el rang de transmissió, l'ample de banda disponible, la trajectòria futura dels nodes veíns i la perdua de paquets a la capa MAC. Aquestes mètriques es ponderen per a obtenir una puntuació multimètrica. Així, un node pot seleccionar el millor node de reenviament entre tots els seus veíns per augmentar la probabilitat d' èxit de lliurament de paquets, minimitzant el retard mitjà dels paquets i oferint un cert nivell de qualitat de servei.Las redes ad hoc han llamado mucho la atención por parte de la comunidad científica en los últimos años, además de los importantes avances técnicos que han surgido. Estas redes se prevén como un tipo importante de redes de acceso de nueva generación, donde los servicios multimedia sean requeridos por los usuarios a través de sus dispositivos inalámbricos desde todas partes. En esta tesis, centramos nuestro trabajo de investigación especialmente en las redes móviles ad hoc (MANET, Mobile Ad hoc Network) y las redes vehiculares ad hoc (VANET, Vehicular Ad hoc Network). Las características especiales de las MANETs y las VANETs, como la movilidad, la topología dinámica de la red (especialmente en VANETs), las restricciones de batería (en caso de MANETs), la ausencia de infraestructura y la capacidad variable del enlace inalámbrico hace que la provisión de la calidad de servicio en estas redes sea un reto importante para la comunidad científica. Debido a esto, existe la necesidad de desarrollar nuevos protocolos de encaminamiento especialmente diseñados para MANETs y VANETs capaces de proporcionar los servicios de multimedia requeridos. El objetivo principal de esta tesis es proveer mejoras en la comunicación para las redes ad hoc MANET y VANET para mejorar las decisiones a la hora de seleccionar los próximos caminos o nodos, respectivamente, en el momento del envío de las tramas del video y de esta manera sería posible tener una respuesta rápida para resolver los problema diarios en la ciudad y ayudar a las unidades de emergencia (por ejemplo, policía, ambulancias, unidades de salud) en caso de incidentes, como accidentes de tráfico. Para analizar adecuadamente nuestras propuestas sobre VANETs hemos diseñado un entorno de simulación realista que incorpora la presencia de edificios en mapas reales. En el caso de que haya un obstáculo entre el nodo actual y el candidato para ser el próximo salto el paquete se almacena en un buer, durante un tiempo máximo, hasta encontrar un nuevo candidato; en caso contrario, se descarta el paquete. Para mejorar las comunicaciones en las MANETs, proponemos un nuevo protocolo de encaminamiento basado en teoría de juegos para N usuarios especialmente diseñados para enviar mensajes de video. Esto hace que la red sea más eficiente, y así se consigue un mayor grado de satisfacción de los usuarios al recibir muchos más paquetes con un menor promedio de retardo de extremo a extremo, variación de retardo (jitter) y mayor PSNR (Relación Señal a Ruido de Pico). Además, se propone un protocolo de encaminamiento geográfico basado en el reenvío de salto-a-salto para VANETs llamado 3MRP (Multimedia multimetric Map-Aware Routing Protocol) [1] que incluye diversas métricas. Las métricas consideradas en 3MRP son la distancia al destino, la densidad de vehículos en el rango de transmisión, el ancho de banda disponible, la trayectoria futura de los nodos vecinos y la pérdida de paquetes en la capa MAC. Estas métricas se ponderan para obtener una puntuación multimetricanal. Así, un nodo puede seleccionar el mejor nodo de reenvío entre todos sus vecinos para aumentar la probabilidad de éxito de entrega de paquetes, minimizando el retardo medio de los paquetes y ofreciendo un cierto nivel de calidad de servicio. Por otra parte, se ha diseñado un nuevo algoritmo capaz de dar a cada métrica su correspondiente peso en función de las condiciones actuales de la red. De esta forma, los nodos se pueden clasificar de una mejor manera. Por último, se propone un nuevo protocolo de encaminamiento para VANETs llamado G-3MRP (Game Theoretical Multimedia Multimetric Map-aware Routing Protocol) [2] para enviar mensajes de video basado en teoría de juegos para N usuarios en escenarios urbanos. G-3MRP se basa en el protocolo de encaminamiento 3MRP. G-3MRP utiliza hasta tres nodos a través de los cuales los tres tipos de cuadros de video I, P y B serán enviados. Las métricas utilizadas son las mismas que en 3MRP. G-3MRP logra una mayor grado de satisfacción de los usuarios mediante la recepción de muchos más paquetes de video y con un mayor nivel de PSNR, que la anterior propuesta 3MRP+DSW. También hemos analizado el problema de detección de obstáculos en mapas reales para VANETs en escenarios urbanos. Para este propósito, hemos desarrollado nuestra herramienta REVsim [3] de tal forma que puede estar fácilmente integrada en nuestra propuesta de protocolo de encaminamiento para que las simulaciones sean más realistas.Postprint (published version

Building the Future Internet through FIRE

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate