Wireless sensing by analog signal compression

In this dissertation, the design, computer simulations, experimental evaluations, and theoretical analyses of new wireless sensing schemes were carried out systematically. A novel power-efficient and low-complexity analog sensor design is the foundation of this PhD thesis. This novel analog sensor hardware has signal compression capabilities in the analog domain and was validated by thorough computer simulations and hardware experiments. Moreover, the wireless sensor network prototype with the proposed analog sensor has been developed for practical wireless monitoring scenarios. Based on this experimentally validated prototype, the research progresses to the biosensing system in which the microfluidic and physiological signals are compressed in the analog domain for wireless health monitoring applications. On the other hand, theoretical analyses are investigated to deepen the understanding of signal recovery performance by the analog signal compression. Detailed theoretical derivations were performed, and both simulation and experimental results are presented regarding the key parameter optimizations. In summary, this dissertation is rooted in the idea of low-power analog sensor and is subsequently developed into persistent wireless sensing, biosensing applications, and theoretical investigations.Ph.D.Includes bibliographical reference