770 resultados para Wireless sensor network


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We propose an optimization-based framework to minimize the energy consumption in a sensor network when using an indoor localization system based on the combination of received signal strength (RSS) and pedestrian dead reckoning (PDR). The objective is to find the RSS localization frequency and the number of RSS measurements used at each localization round that jointly minimize the total consumed energy, while ensuring at the same time a desired accuracy in the localization result. The optimization approach leverages practical models to predict the localization error and the overall energy consumption for combined RSS-PDR localization systems. The performance of the proposed strategy is assessed through simulation, showing energy savings with respect to other approaches while guaranteeing a target accuracy.

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La Internet de las Cosas (IoT), como parte de la Futura Internet, se ha convertido en la actualidad en uno de los principales temas de investigación; en parte gracias a la atención que la sociedad está poniendo en el desarrollo de determinado tipo de servicios (telemetría, generación inteligente de energía, telesanidad, etc.) y por las recientes previsiones económicas que sitúan a algunos actores, como los operadores de telecomunicaciones (que se encuentran desesperadamente buscando nuevas oportunidades), al frente empujando algunas tecnologías interrelacionadas como las comunicaciones Máquina a Máquina (M2M). En este contexto, un importante número de actividades de investigación a nivel mundial se están realizando en distintas facetas: comunicaciones de redes de sensores, procesado de información, almacenamiento de grandes cantidades de datos (big--‐data), semántica, arquitecturas de servicio, etc. Todas ellas, de forma independiente, están llegando a un nivel de madurez que permiten vislumbrar la realización de la Internet de las Cosas más que como un sueño, como una realidad tangible. Sin embargo, los servicios anteriormente mencionados no pueden esperar a desarrollarse hasta que las actividades de investigación obtengan soluciones holísticas completas. Es importante proporcionar resultados intermedios que eviten soluciones verticales realizadas para desarrollos particulares. En este trabajo, nos hemos focalizado en la creación de una plataforma de servicios que pretende facilitar, por una parte la integración de redes de sensores y actuadores heterogéneas y geográficamente distribuidas, y por otra lado el desarrollo de servicios horizontales utilizando dichas redes y la información que proporcionan. Este habilitador se utilizará para el desarrollo de servicios y para la experimentación en la Internet de las Cosas. Previo a la definición de la plataforma, se ha realizado un importante estudio focalizando no sólo trabajos y proyectos de investigación, sino también actividades de estandarización. Los resultados se pueden resumir en las siguientes aseveraciones: a) Los modelos de datos definidos por el grupo “Sensor Web Enablement” (SWE™) del “Open Geospatial Consortium (OGC®)” representan hoy en día la solución más completa para describir las redes de sensores y actuadores así como las observaciones. b) Las interfaces OGC, a pesar de las limitaciones que requieren cambios y extensiones, podrían ser utilizadas como las bases para acceder a sensores y datos. c) Las redes de nueva generación (NGN) ofrecen un buen sustrato que facilita la integración de redes de sensores y el desarrollo de servicios. En consecuencia, una nueva plataforma de Servicios, llamada Ubiquitous Sensor Networks (USN), se ha definido en esta Tesis tratando de contribuir a rellenar los huecos previamente mencionados. Los puntos más destacados de la plataforma USN son: a) Desde un punto de vista arquitectónico, sigue una aproximación de dos niveles (Habilitador y Gateway) similar a otros habilitadores que utilizan las NGN (como el OMA Presence). b) Los modelos de datos están basado en los estándares del OGC SWE. iv c) Está integrado en las NGN pero puede ser utilizado sin ellas utilizando infraestructuras IP abiertas. d) Las principales funciones son: Descubrimiento de sensores, Almacenamiento de observaciones, Publicacion--‐subscripcion--‐notificación, ejecución remota homogénea, seguridad, gestión de diccionarios de datos, facilidades de monitorización, utilidades de conversión de protocolos, interacciones síncronas y asíncronas, soporte para el “streaming” y arbitrado básico de recursos. Para demostrar las funcionalidades que la Plataforma USN propuesta pueden ofrecer a los futuros escenarios de la Internet de las Cosas, se presentan resultados experimentales de tres pruebas de concepto (telemetría, “Smart Places” y monitorización medioambiental) reales a pequeña escala y un estudio sobre semántica (sistema de información vehicular). Además, se está utilizando actualmente como Habilitador para desarrollar tanto experimentación como servicios reales en el proyecto Europeo SmartSantander (que aspira a integrar alrededor de 20.000 dispositivos IoT). v Abstract Internet of Things, as part of the Future Internet, has become one of the main research topics nowadays; in part thanks to the pressure the society is putting on the development of a particular kind of services (Smart metering, Smart Grids, eHealth, etc.), and by the recent business forecasts that situate some players, like Telecom Operators (which are desperately seeking for new opportunities), at the forefront pushing for some interrelated technologies like Machine--‐to--‐Machine (M2M) communications. Under this context, an important number of research activities are currently taking place worldwide at different levels: sensor network communications, information processing, big--‐ data storage, semantics, service level architectures, etc. All of them, isolated, are arriving to a level of maturity that envision the achievement of Internet of Things (IoT) more than a dream, a tangible goal. However, the aforementioned services cannot wait to be developed until the holistic research actions bring complete solutions. It is important to come out with intermediate results that avoid vertical solutions tailored for particular deployments. In the present work, we focus on the creation of a Service--‐level platform intended to facilitate, from one side the integration of heterogeneous and geographically disperse Sensors and Actuator Networks (SANs), and from the other the development of horizontal services using them and the information they provide. This enabler will be used for horizontal service development and for IoT experimentation. Prior to the definition of the platform, we have realized an important study targeting not just research works and projects, but also standardization topics. The results can be summarized in the following assertions: a) Open Geospatial Consortium (OGC®) Sensor Web Enablement (SWE™) data models today represent the most complete solution to describe SANs and observations. b) OGC interfaces, despite the limitations that require changes and extensions, could be used as the bases for accessing sensors and data. c) Next Generation Networks (NGN) offer a good substrate that facilitates the integration of SANs and the development of services. Consequently a new Service Layer platform, called Ubiquitous Sensor Networks (USN), has been defined in this Thesis trying to contribute to fill in the previous gaps. The main highlights of the proposed USN Platform are: a) From an architectural point of view, it follows a two--‐layer approach (Enabler and Gateway) similar to other enablers that run on top of NGN (like the OMA Presence). b) Data models and interfaces are based on the OGC SWE standards. c) It is integrated in NGN but it can be used without it over open IP infrastructures. d) Main functions are: Sensor Discovery, Observation Storage, Publish--‐Subscribe--‐Notify, homogeneous remote execution, security, data dictionaries handling, monitoring facilities, authorization support, protocol conversion utilities, synchronous and asynchronous interactions, streaming support and basic resource arbitration. vi In order to demonstrate the functionalities that the proposed USN Platform can offer to future IoT scenarios, some experimental results have been addressed in three real--‐life small--‐scale proofs--‐of concepts (Smart Metering, Smart Places and Environmental monitoring) and a study for semantics (in--‐vehicle information system). Furthermore we also present the current use of the proposed USN Platform as an Enabler to develop experimentation and real services in the SmartSantander EU project (that aims at integrating around 20.000 IoT devices).

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Ubiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.

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In recent future, wireless sensor networks (WSNs) will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In parallel, the broad range deployment of WSNs facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers (DCs). The high economical and environmental impact of the energy consumption in DCs requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this context, this paper shows the following on-going research lines and obtained results. In the field of WSNs: energy optimization in the processing nodes from different abstraction levels, including reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications. In the field of DCs: energy-optimal workload assignment policies in heterogeneous DCs, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.

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In recent future, wireless sensor networks ({WSNs}) will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In parallel, the broad range deployment of {WSNs} facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers ({DCs}). The high economical and environmental impact of the energy consumption in {DCs} requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this context, this paper shows the following on-going research lines and obtained results. In the field of {WSNs}: energy optimization in the processing nodes from different abstraction levels, including reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications. In the field of {DCs}: energy-optimal workload assignment policies in heterogeneous {DCs}, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.

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Energy Efficiency is one of the goals of the Smart Building initiatives. This paper presents an Open Energy Management System which consists of an ontology-based multi-technology platform and a wireless transducer network using 6LoWPAN communication technology. The system allows the integration of several building automation protocols and eases the development of different kind of services to make use of them. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.

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The implementation of wireless communication systems in rural areas through the deployment of data networks in infrastructure mode is often inadequate due to its high cost and no fault tolerant centralized structure. Mesh networks can overcome these limitations while increases the coverage area in a more flexible way. This paper proposes the performance evaluation of the routing protocols IEEE 802.11s and Batman-Adv on an experimental wireless mesh network deployed in a rural environment called Lachocc, which is a community located at 4700 MASL in the Huancavelica region in Peru. The evaluation was based on the measurement of quality of service parameters such as bandwidth, delay and delay variation. As a result, it was determined that both protocols offer a good performance, but in most of the cases, Batman-Adv provides slightly better performance

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Variabilities associated with CMOS evolution affect the yield and performance of current digital designs. FPGAs, which are widely used for fast prototyping and implementation of digital circuits, also suffer from these issues. Proactive approaches start to appear to achieve self-awareness and dynamic adaptation of these devices. To support these techniques we propose the employment of a multi-purpose sensor network. This infrastructure, through adequate use of configuration and automation tools, is able to obtain relevant data along the life cycle of an FPGA. This is realised at a very reduced cost, not only in terms of area or other limited resources, but also regarding the design effort required to define and deploy the measuring infrastructure. Our proposal has been validated by measuring inter-die and intra-die variability in different FPGA families.

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This paper presents an Ontology-Based multi-technology platform as part of an open energy management system which also comprises a wireless transducer network for control and monitoring. The platform allows the integration of several building automation protocols, eases the development and implementation of different kinds of services and allows sharing of the data of a building. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.

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In this work, the power management techniques implemented in a high-performance node for Wireless Sensor Networks (WSN) based on a RAM-based FPGA are presented. This new node custom architecture is intended for high-end WSN applications that include complex sensor management like video cameras, high compute demanding tasks such as image encoding or robust encryption, and/or higher data bandwidth needs. In the case of these complex processing tasks, yet maintaining low power design requirements, it can be shown that the combination of different techniques such as extensive HW algorithm mapping, smart management of power islands to selectively switch on and off components, smart and low-energy partial reconfiguration, an adequate set of save energy modes and wake up options, all combined, may yield energy results that may compete and improve energy usage of typical low power microcontrollers used in many WSN node architectures. Actually, results show that higher complexity tasks are in favor of HW based platforms, while the flexibility achieved by dynamic and partial reconfiguration techniques could be comparable to SW based solutions.

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In this work a complete hardware-software support platform for a WSN testbed focused on developing wireless sensor applications in a simple and intuitive way is presented, as an alternative of commercial-motes-based testbeds that can be found in the state of the art. The main target of this hardware-software platform is to provide the highest abstraction level on the management of WSNs but in the simplest way in order to achieve a fast profiling mechanism for reliable prototyping based on the Cookies platform as well as helping users to develop, test and validate Cookie-Based WSN applications.

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En las últimas décadas el mundo ha sufrido un aumento exponencial en la utilización de soluciones tecnológicas, lo que ha desembocado en la necesidad de medir situaciones o estados de los distintos objetos que nos rodean. A menudo, no es posible cablear determinados sensores por lo que ese aumento en la utilización de soluciones tecnológicas, se ha visto traducido en un aumento de la necesidad de utilización de sensórica sin cables para poder hacer telemetrías correctas. A nivel social, el aumento de la demografía mundial está estrechamente ligado al aumento de la necesidad de servicios tecnológicos, por lo que es lógico pensar que a más habitantes, más tecnología será consumida. El objetivo de este Proyecto Final de Carrera está basado en la utilización de diversos nodos o también llamados motas capaces de realizar transferencia de datos en modo sin cables, permitiendo así realizar una aplicación real que solvente problemas generados por el aumento de la densidad de población. En concreto se busca la realización de un sistema de aparcamiento inteligente para estacionamientos en superficie, ayudando por tanto a las tareas de ordenación vehicular dentro del marco de las Smart cities. El sistema está basado en el protocolo de comunicaciones 802.15.4 (ZigBee) cuyas características fundamentales radican en el bajo consumo de energía de los componentes hardware asociados. En primer lugar se realizará un Estado del Arte de las Redes Inalámbricas de Sensores, abordando tanto la arquitectura como el estándar Zigbee y finalmente los componentes XBee que se van a utilizar en este Proyecto. Seguidamente se realizará la algoritmia necesaria para el buen funcionamiento del sistema inteligente de estacionamiento y finalmente se realizará un piloto demostrador del correcto funcionamiento de la tecnología. ABSTRACT In the last decades the world has experienced an exponential increase in the use of technological solutions, which has resulted in the need to measure situations or states of the objects around us. Often, wired sensors cannot be used at many situations, so the increase in the use of technological solutions, has been translated into a increase of the need of using wireless sensors to make correct telemetries. At the social level, the increase in global demographics is closely linked to the increased need for technological services, so it is logical that more people, more technology will be consumed. The objective of this Final Project is based on the use of various nodes or so-called motes, capable of performing data transfer in wireless mode, thereby allowing performing a real application solving problems generated by the increase of population densities. Specifically looking for the realization of a smart outdoor parking system, thus helping to vehicular management tasks within the framework of the Smart Cities. The system is based on the communication protocol 802.15.4 (ZigBee) whose main characteristics lie in the low energy consumption associated to the hardware components. First there will be a State of the Art of Wireless Sensor Networks, addressing both architecture and finally the Zigbee standard XBee components to be used in this project. Then the necessary algorithms will be developed for the proper working of the intelligent parking system and finally there will be a pilot demonstrator validating the whole system.

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El auge y evolución de los sistemas de comunicaciones móviles y de las redes inalámbricas avanzadas, sucedido desde principios del siglo XXI, han propiciado el uso de Redes de Sensores Inalámbricos (RSI) en múltiples ámbitos de interés. Dichas redes están típicamente compuestas por dispositivos inalámbricos autónomos que incorporan sensores para la recogida de datos de distinta naturaleza. Las RSI se caracterizan por su escalabilidad, ausencia de cableado, pequeño tamaño, bajo consumo, gran variedad de magnitudes físico/químicas medibles, entre otras, cuyas cualidades las hace muy interesantes para su aplicación en multitud de escenarios de la Sociedad de la Información, tales como domótica, agricultura y ganadería, medioambiente, salud, procesos industriales, logística, seguridad o ciudades inteligentes, ente otras. En este Trabajo Fin de Máster, se propone el uso de las RSI en el escenario de Emergencias donde cobra gran importancia la usabilidad, la fiabilidad, la disponibilidad, y la robustez de los sistemas a emplear en condiciones hostiles, especialmente en las de bomberos. Es por ello que se analizarán previamente los trabajos de RSI desarrollados para estos entornos y que sugieren qué aplicaciones garantizan el cumplimiento de los requerimientos mencionados. Se aborda la utilización de una primera RSI para la monitorización ambiental de tres Centros de Procesado de Datos (CPD) del departamento de TI de Emergencias, siendo este un entorno sin movilidad, más controlado y que aporta la adquisición de experiencia en la utilización de las RSI de cara a un entorno móvil más complejo. A continuación, para el entorno móvil se ha desarrollado y validado un prototipo experimental de RSI para el seguimiento de salida de parques de bomberos de vehículos con su dotación. Así mismo se implementa un prototipo para la ayuda a la localización de bomberos y/o personas en un siniestro. Estas RSI se desarrollan e implantan en el entorno de Emergencias del Ayuntamiento de Madrid, entidad sin cuyo apoyo habría sido imposible la aplicación práctica de este trabajo. SUMMARY. The rise and evolution of mobile communication systems and advanced wireless networks in early XXI century have allowed to taking advantage of Wireless Sensor Networks (WSN). These networks are composed of independent wireless devices that incorporate sensors for collecting data of different nature. The WSN is characterized by its scalability, no wiring, small size, low power consumption, wide range of physical magnitudes measurable, among others. These qualities make them very interesting for application in many scenarios to the Information Society, such as, domotic, agriculture, smart environment, ehealth, industrial control, logistics, security and smart cities, among others. This work proposes to use WSN in the emergency scenario where is very important the usability, reliability, availability, and robustness of the systems to be used in hostile conditions, especially in fire-fighters environment. That is why WSN works in emergency will be studied to tackle what applications compliance with the above requirements. The first WSN developed will be environmental monitoring of three CPDs IT department Emergency. This scenario is a non-mobile environment, more controlled and bring gaining experience in the use of WSN to face mobile environment which is more complex. Then, for the mobile environment is developed an experimental prototype of WSN for tracking fire vehicles living fire stations with their equipment. Another prototype is foreseen to be implemented to assist fire-fighters location and / or people in a disaster. These WSN are developed and implemented for Madrid City Emergency, whose involvement was critical to put this research into stage.

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Los Sistemas de SHM o de monitorización de la integridad estructural surgen ante la necesidad de mejorar los métodos de evaluación y de test no destructivos convencionales. De esta manera, se puede tener controlado todo tipo de estructuras en las cuales su correcto estado o funcionamiento suponga un factor crítico. Un Sistema SHM permite analizar una estructura concreta capturando de manera periódica el estado de la integridad estructural, que en este proyecto se ha aplicado a estructuras aeronáuticas. P.A.M.E.L.A. (Phase Array Monitoring for Enhanced Life Assessment) es la denominación utilizada para definir una serie de equipos electrónicos para Sistemas SHM desarrollados por AERNOVA y los Grupos de Diseño Electrónico de las universidades UPV/EHU y UPM. Los dispositivos P.A.M.E.L.A. originalmente no cuentan con tecnología Wi-Fi, por lo que incorporan un módulo hardware independiente que se encarga de las comunicaciones inalámbricas, a los que se les denomina Nodos. Estos Nodos poseen un Sistema Operativo propio y todo lo necesario para administrar y organizar la red Mallada Wi-Fi. De esta manera se obtiene una red mallada inalámbrica compuesta por Nodos que interconectan los Sistemas SHM y que se encargan de transmitir los datos a los equipos que procesan los resultados adquiridos por P.A.M.E.L.A. Los Nodos son dispositivos empotrados que llevan instalados un firmware basado en una distribución de Linux para Nodos (o Routers), llamado Openwrt. Que para disponer de una red mallada necesitan de un protocolo orientado a este tipo de redes. Entre las opciones de protocolo más destacadas se puede mencionar: DSDV (Destination Sequenced Distance Vector), OLSR (Optimized Link State Routing), B.A.T.M.A.N-Adv (Better Approach To Mobile Adhoc Networking Advance), BMX (una versión de B.A.T.M.A.N-Adv), AODV (Ad hoc On-Demand Distance Vector) y el DSR (Dynamic Source Routing). Además de la existencia de protocolos orientados a las redes malladas, también hay organizaciones que se dedican a desarrollar firmware que los utilizan, como es el caso del firmware llamado Nightwing que utiliza BMX, Freifunk que utiliza OLSR o Potato Mesh que utiliza B.A.T.M.A.N-Adv. La ventaja de estos tres firmwares mencionados es que las agrupaciones que las desarrollan proporcionan las imágenes precompiladas del sistema,listas para cargarlas en distintos modelos de Nodos. En este proyecto se han instalado las imágenes en los Nodos y se han probado los protocolos BMX, OLSR y B.A.T.M.A.N.-Adv. Concluyendo que la red gestionada por B.A.T.M.A.N.-Adv era la que mejor rendimiento obtenía en cuanto a estabilidad y ancho de banda. Después de haber definido el protocolo a usar, se procedió a desarrollar una distribución basada en Openwrt, que utilice B.A.T.M.A.N.-Adv para crear la red mallada, pero que se ajuste mejor a las necesidades del proyecto, ya que Nightwing, Freifunk y Potato Mesh no lo hacían. Además se implementan aplicaciones en lenguaje ANSI C y en LabVIEW para interactuar con los Nodos y los Sistemas SHM. También se procede a hacer alguna modificación en el Hardware de P.A.M.E.L.A. y del Nodo para obtener una mejor integración entre los dos dispositivos. Y por ultimo, se prueba la transferencia de datos de los Nodos en distintos escenarios. ABSTRACT. Structural Health Monitoring (SHM) systems arise from the need of improving assessment methods and conventional nondestructive tests. Critical structures can be monitored using SHM. A SHM system analyzes periodically a specific structure capturing the state of structural integrity. The aim of this project is to contribute in the implementation of Mesh network for SHM system in aircraft structures. P.A.M.E.L.A. (Phase Array Monitoring for Enhanced Life Assessment) is the name for electronic equipment developed by AERNOVA, the Electronic Design Groups of university UPV/EHU and the Instrumentation and Applied Acoustics research group from UPM. P.A.M.E.L.A. devices were not originally equipped with Wi-Fi interface. In this project a separate hardware module that handles wireless communications (nodes) has been added. The nodes include an operating system for manage the Wi-Fi Mesh Network and they form the wireless mesh network to link SHM systems with monitoring equipment. Nodes are embedded devices with an installed firmware based on special Linux distribution used in routers or nodes, called OpenWRT. They need a Mesh Protocol to stablish the network. The most common protocols options are: DSDV (Destination Sequenced Distance Vector), OLSR (Optimized Link State Routing), BATMAN-Adv (Better Approach To Mobile Ad-hoc Networking Advance), BMX (a version of BATMAN-Adv) AODV (Ad hoc on-Demand Distance Vector) and DSR (Dynamic Source Routing). In addition, there are organizations that are dedicated to develope firmware using these Mesh Protocols, for instance: Nightwing uses BMX, Freifunk use OLSR and Potato Mesh uses BATMAN-Adv. The advantage of these three firmwares is that these groups develop pre-compiled images of the system ready to be loaded in several models of Nodes. In this project the images were installed in the nodes. In this way, BMX, OLSR and BATMAN-Adv have been tested. We conclude that the protocol BATMAN-Adv has better performance in terms of stability and bandwidth. After choosing the protocol, the objective was to develop a distribution based on OpenWRT, using BATMAN-Adv to create the mesh network. This distribution is fitted to the requirements of this project. Besides, in this project it has been developed applications in C language and LabVIEW to interact with the Nodes and the SHM systems. The project also address some modifications to the PAMELA hardware and the Node, for better integration between both elements. Finally, data transfer tests among the different nodes in different scenarios has been carried out.

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Of the many state-of-the-art methods for cooperative localization in wireless sensor networks (WSN), only very few adapt well to mobile networks. The main problems of the well-known algorithms, based on nonparametric belief propagation (NBP), are the high communication cost and inefficient sampling techniques. Moreover, they either do not use smoothing or just apply it o ine. Therefore, in this article, we propose more flexible and effcient variants of NBP for cooperative localization in mobile networks. In particular, we provide: i) an optional 1-lag smoothing done almost in real-time, ii) a novel low-cost communication protocol based on package approximation and censoring, iii) higher robustness of the standard mixture importance sampling (MIS) technique, and iv) a higher amount of information in the importance densities by using the population Monte Carlo (PMC) approach, or an auxiliary variable. Through extensive simulations, we confirmed that all the proposed techniques outperform the standard NBP method.