Consensus+innovations detection: Phase transition under communication noise

We study the large deviations performance of consensus+innovations distributed detection under communication noise. We consider N agents, connected in a generic network; agents sense the environment and communicate over noisy links to detect the event of interest. The agents employ a consensus+innovations distributed detector, which operates as follows. At a time k, agent i first communicates its decision variable to its neighbors, and receives from neighbors their decision