Non-Parametric Approach to Change Detection and Estimation in Large Scale Sensor Networks
نویسندگان
چکیده
We consider a non-parametric, spatial sample-based scheme for the detection and estimation of changes of a random field by collecting packets from randomly distributed sensors. We assume that each sensor has a fixed probability of successfully sending to a mobile access point a packet containing its local state—either “excited” or “baseline” and its location. The task we are concerned with here is as follows: Given two sets of packets collected over two nonoverlapping time-windows, construct a test to determine if the distribution generating the sensor’s states has changed between these two time windows. Furthermore, if a change of distribution has occurred, we wish to estimate the distribution of the change.
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