Publications

Journal Article

The authors study a decentralized detection architecture in which each of a set of sensors transmits a highly compressed summary of its observations (a binary message) to a fusion center, which then decides on one of two alternative hypotheses.

In contrast to the star (or “parallel”) architecture considered in most of the literature, the authors allow a subset of the sensors to both transmit their messages to the fusion center and to also broadcast them to the remaining sensors.

The authors focus on the following architectural question: Is there a significant performance improvement when we allow such a message broadcast? The authors consider the error exponent (asymptotically, in the limit of a large number of sensors) for the Neyman-Pearson formulation of the detection problem.

The authors prove that the sharing of messages does not improve the optimal error exponent.