Precision Localization in Monte Carlo Sensor Networks

We have proposed Monte Carlo Sensor Networks as a method to solve certain sensor queries in the presence of noise and partial information. In that work we used very coarse position estimates for enemy agents. Here we propose methods to (1) improve the posterior probability estimates by using a more precise analysis of the sensor range geometry, and (2) help select advantageous locations to place the sensor nodes.

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