Conference paper

A lower bound to the scaling behavior of sensor networks

For a class of sensor networks, the task is to monitor an underlying physical phenomenon over space and time through a noisy observation process. The sensors can communicate back to a data collector over a noisy channel. The key parameters in such a setting are the fidelity (or distortion) at which the underlying physical phenomenon can be estimated by a central data collector, and the cost of operating the communication network

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