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Estimation of velocity in underwater wireless channelsBlankenagel, Bryan 25 November 2013 (has links)
Underwater communication is necessary for a variety of applications, including transmission of diver speech, communication between manned and/or unmanned underwater vehicles, and data harvesting for environmental monitoring, to name a few. Examples of communication between underwater vehicles include unmanned or autonomous underwater vehicles (UUV or AUV) for deep water construction, military UUVs such as submarine drones, repair vehicles for deep water oil wells, scientific or resource exploration, etc. Examples of underwater communication between fixed submerged devices are sensor networks deployed on the ocean floor for seismic monitoring and tsunami prediction, pollution monitoring, tactical surveillance, analysis of resource deposits, oceanographic studies, etc. The underwater communication environment is a challenging one. Radio signals experience drastic attenuation, while optical signals suffer from dispersion. Because of these issues, acoustic (sound) signals are usually used for underwater communication. Unfortunately, acoustics has its own problems, including limited bandwidth, slow propagation, and signal distortion. Some of these limitations can be overcome with advanced modulation and coding, but to do so requires better understanding of the underwater acoustic propagation environment, which is significantly different than air- or space-based radio propagation. The underwater environment must be studied and characterized to exploit these advanced modulation and coding techniques. This thesis addresses some of these concerns by proposing a derivation of the envelope level crossing rate of the underwater channel, as well as a simulation model for the channel, both of which agree well with the measured results. A velocity estimator is also proposed, but suffers from a high degree of root mean square error
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Deployment of Efficient Wireless Sensor Nodes for Monitoring in Rural, Indoor and Underwater EnvironmentsSendra Compte, Sandra 23 September 2013 (has links)
Existen muchos trabajos relacionados con el diseño y desarrollo de nodos sensores, donde se presentan gran variedad de aplicaciones. Las redes de sensores inalámbricos pueden facilitarnos y mejorar algunos aspectos de nuestra vida diaria. Es fácil, pensar que si este tipo de dispositivo es tan beneficioso para nosotros y para el entorno donde vivimos, su precio debería ser relativamente barato. Pero podemos comprobar que esto no es así. ¿Por qué estos dispositivos son tan caros? ¿Sería posible desarrollar dispositivos con las mismas capacidades y precios más económicos? ¿Cómo puedo fabricar mis nodos sensores de bajo coste?
Esta tesis responde a estas preguntas y muestra algunas de las muchas aplicaciones que los nodos sensores pueden tener. En esta tesis hemos propuesto (e implementado en algunos casos) el desarrollo de nodos sensores para la monitorización del medio, a partir de dispositivos de bajo coste. Para la implementación de un nodo sensor, y en definitiva la red que une a todos estos nodos, es importante conocer el medio donde trabajarán. A lo largo de este documento se presentan las investigaciones llevadas a cabo para el desarrollo de sensores en tres ámbitos de aplicación.
En el primero de ellos, se desarrollan dispositivos multisenores para la monitorización del medio. La aplicación de las redes de sensores inalámbricas al medio natural, precisa un estudio de cómo se ven afectadas las señales, en función de la distancia, vegetación, humedad del ambiente, etc. Focalizamos nuestros desarrollos en la verificación de incendios en zonas rurales y en el control de plagas en viñedos donde la detección precoz de estos eventos genera elevados ahorros económicos. También proponemos el desarrollo de una red de collares sensores para ganado domestico, que nos ayudará a reducir y prevenir en muchos casos, los ataques de lobos y hurtos de crías. Por último, dentro de este grupo, presentamos una red permite detectar anomalía de los materiales en edificios y red de sensores que nos permite monitorizar las personas mayores o deficientes, que se mueven junto con un grupo, en una excursión o actividad.
El segundo grupo de aplicaciones, hace referencia a la monitorización de espacios en entornos de interior. Para ello hemos analizado el comportamiento de las señales inalámbricas en diferentes escenarios. Los resultados, nos han permitido extraer un nuevo método de diseño de las redes inalámbricas en interiores. Nuestro método, permite definir la mejor ubicación de los dispositivos de red y nodos sensores en interiores con un ahorro en el número de sensores del 15%.
Por último, se presenta el estudio sobre las comunicaciones subacuáticas basadas en las ondas electromagnéticas donde analizamos la dependencia de las comunicaciones subacuáticas en agua dulce en función de la frecuencia, temperatura, tasas de transferencia de datos y modulación.
Relacionado con el medio subacuático, presentamos 2 propuestas. La primera de ellas hace referencia a la implementación de una red de sensores para granjas marinas que nos permite reducir la cantidad de residuos depositados en el lecho marino y reducir el porcentaje de comida desperdiciada. La segunda propuesta es el desarrollo de dos sensores oceanográficos que nos permitirían controlar la cantidad de comida y heces depositadas en el suelo y controlar la turbidez del agua de manera muy simple y económica
Todos estos desarrollos y propuestas, han estado precedidos por un exhaustivo estudio sobre los problemas energéticos que las redes de sensores inalámbricas presentan y las técnicas que pueden emplearse, para prolongar la vida útil de la red y mejorar su estabilidad. / There are many works related to the design and development of sensor nodes which present
several applications. Wireless sensor networks can facilitate and improve some aspects of our daily
lives. It is easy to think that if this type of device is so beneficial to us and to our environment, its
price should be relatively cheap. But we can see that this is not true. Why these devices are so
expensive? Would it be possible to develop devices with the same capabilities and lower prices?
How can I make my low-cost sensor nodes?
This dissertation answers these questions and shows some of the many applications that sensor
nodes may have. In this dissertation, we propose (and implement in some cases) the development of
sensor nodes for environmental monitoring, from low-cost devices. For the implementation of a
sensor node and network which joins all these nodes, it is important to know the environment where
they will work. Throughout this dissertation, we present the research carried out for the
development of sensors in three main application areas.
In the first of these areas, we present multisensor devices developed for environmental
monitoring. The application of wireless sensor networks to the environment requires a study of how
signals are affected depending on the distance, vegetation, ambient humidity, etc. We focus our
developments on the fire detection in rural areas and on the control of pests in vineyards where the
early detection of these events generates high economic savings. We also propose the development
of a sensor network which will help us to reduce and prevent wolves¿ attacks and theft in livestock.
Finally, within this group, we present a network to detect material anomalies in building and a
sensor network which allows us to monitor the elderly or disabled people who move along with a
group on a tour or activity.
The second group of applications is related to the monitoring of spaces in indoor environments.
For this, we analyze the behavior of wireless signals in different scenarios. These results allowed us
to extract a new method for designing wireless networks in indoor environments. Our method
allows defining the best location of network devices and sensor nodes indoors saving 15% of the
sensors needed.
Finally, we present a study on underwater freshwater communications based on electromagnetic
waves, where we analyze the dependency of underwater communications as a function of working
frequency, temperature, data transfer rates and modulation.
Related to underwater environment, we present two proposals. First one refers to the
implementation of a sensor network for marine farms which allows us to reduce the amount of
waste deposited on the seabed and reduce the percentage of wasted food. The second proposal is the
development of two oceanographic sensors which allow us to control the amount of food and feces
deposited in seabed and the water turbidity control in a very simple and inexpensive way.
All these developments and proposals have been preceded by a comprehensive study on the
energy problems in wireless sensor networks. We have also presented several techniques which can
be used to prolong the network lifetime and improve its stability. / Sendra Compte, S. (2013). Deployment of Efficient Wireless Sensor Nodes for Monitoring in Rural, Indoor and Underwater Environments [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/32279 / Alfresco
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Performance of acoustic spread-spectrum signaling in simulated ocean channelsPelekanos, Georgios N. 06 1900 (has links)
Approved for public release, distribution is unlimited / Direct-Sequence Spread Spectrum (DSSS) modulation is being advanced as the physical-layer basis for Seaweb undersea acoustic networking. DSSS meets the need for channel tolerance, transmission security, and multi-user access. This thesis investigates the performance of subspace-decomposition blind-equalization algorithms as alternatives to RAKE processing of DSSS signals. This approach is tailored for superior performance in time-dispersive and frequency-dispersive channels characteristic of ocean acoustic propagation. Transmitter and receiver structures are implemented in Matlab and evaluated with a statistics-based model of a doubly spread channel with additive noise. Receiver performance is examined using Monte Carlo simulation. Biterror rates versus signal-to-noise ratio are presented for various multipath assumptions, noise assumptions, and receiver synchronization assumptions. / Lieutenant, Hellenic Navy
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