  We consider a state estimation problem where observations are made by
multiple sensors. These observations are communicated over a lossy wireless
network to a central base station that computes estimates via a Kalman filter.
The goal is to determine the optimal location of the base station under a
certain class of packet loss probability models. It is shown in the two sensor
case that the base station is optimally located at one of the sensor locations.
Empirical evidence suggests that the result holds in some generality.
