Abstract

Networks of hundreds or thousands of sensor nodes equipped with sensing, computing and communication ability are conceivable with recent technological advancement. Methods are presented in this report to recover and visualize data from wireless sensor networks, as well as to estimate node positions. A communication system is assumed wherein information from sensor nodes can be transferred to a centralized computer for data processing, though suggestions are made for extensions to distributed computation. Specifically, this report presents four topics. First, the notion of using network connectivity to reconstruct node positions via linear or semidefinite programming is explored. Random feasible node placement and bounding methods are both found to increase in precision with the indiviual geographical constraints. Second, the potential effectiveness of two correlation-based sensor data encoding schemes is reported. Blind correlation methods are found to provide meager compression while ...

Citations