In , an important step toward the characterization of distributed detection over adaptive networks has been made by establishing the fundamental scaling law of the error probabilities. However, empirical evidence reported in  revealed that a refined asymptotic analysis is necessary in order to capture the exact impact of network connectivity on the detection performance of each individual agent. Here we address this open issue by exploiting the framework of exact asymptotics.
|Titolo:||Exact asymptotics of distributed detection over adaptive networks|
|Data di pubblicazione:||2015|
|Appare nelle tipologie:||4.1.2 Proceedings con ISBN|