Enabling high throughput and secure underwater wireless networks through advanced signal processing techniques
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Underwater communication and networks will play a major role in many future commercial, environmental, and military applications, including disaster prevention, tactical surveillance, offshore exploration, pollution monitoring, tsunami detection, sunken airplane or vessel localization and oceanographic data collection. Acoustic wireless communication is the transmission technology of choice for underwater networked systems. However, underwater acoustic signals propagating in water suffer from significant path loss, time-varying multipath propagation, Doppler spread, and high propagation delay. These formidable challenges limit the available bandwidth for underwater acoustic communications, while the rapidly varying channel results in communication links that are highly unreliable, ultimately hindering advancements in underwater networked communications. As a consequence, the field of underwater communication and networking is still in its infancy. The objective of this research work is to further push the boundaries in underwater communication and networking by developing a versatile reconfigurable underwater networking platform, analyzing the statistical channel properties of short-range shallow water communication environments and exploring advanced signal processing techniques to improve the network throughput, provide a secure communication means, and offer a low-cost distributed networked localization and time synchronization framework for underwater acoustic networks. Specifically, in this dissertation, we first present the development of a software-defined underwater networking testbed we developed at the University at Buffalo. In the second part of this work, we investigate underwater acoustic channel characteristics in short-range shallow water environments. In the third part, we propose CDMA-based analog network coding for underwater acoustic sensor networks with the objective to improve the network throughput. In the forth part, we explore CDMA-based analog network coding to provide a secure underwater acoustic communications means. Finally, in the fifth part of this work, we propose a low-cost distributed networked localization and time synchronization framework for underwater acoustic testbeds.
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