ITR/SI+IM (CISE):Distributed Data Compression and Dissemination for Wireless Sensor Networks

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This project will develop new methods for the efficient dissemination of the data collected by wirelesssensor networks. With recent and projected advances in small, low cost microelectronic and micro-electromechanical sensors, it is easy to envision that a large array of sensors, distributed over anappropriate region, will be able to measure the spatial and temporal variations of important attributefield such as temperature, moisture, sound, light, gas concentrations, etc.. However, to realize thebenefits of such arrays, wireless communication networks must be devised that with low power encodeand disseminate the large amounts of data they generate. With this as the goal, the project willdevelop new methods of distributed data compression and data dissemination for dense sensor arrays,that is, for arrays whose sensors are so close that their measurements are highly correlated. One thesisof this project is that the correlations in such arrays can be exploited in order to make the networkoperate essentially as efficiently as a sparse sensor network, while having the additional advantages ofbeing resilient to sensor failures and permitting the attribute field to be measured adaptively or withhigher spatial resolution. Another thesis is that the data compression and dissemination issues forsuch networks are deeply intertwined. Accordingly, the project focuses on the joint design of such.For example, it seeks methodology for tailoring distributed data compression methods to partculardissemination strategies, and vice versa. In the process, it proposed to learn how the performance ofsensor networks depends on a variety of issues such as the number and placement of sensors.