Study of privacy aware distributed detection in a heating and ventilation system

Sammanfattning: The recent studies on sensor networks are causing a huge development of wire-less communications. These studies are motivated by the wide-range promisingapplications. However, this development faces multiple challenges. The privacyissue is one of these challenges. The study on the privacy-constrained sensornetworks is presented in previous works where the eavesdropping privacy risk istaken into account in the physical-layer distributed detection design. Nonethe-less, a rigorous study on the receiver operating characteristics (ROC) is missing.In this thesis, we will focus on a parallel distributed detection networkwith one fusion node that makes the final decision. We show how the fusionROC changes against different settings when considering the privacy constraints.First, a Bayesian detection scenario is considered. Second, some parameters aremodified for the purpose of studying the affect on the ROC. Finally, an otherscenario is analyzed where the eavesdropping is modeled a Neyman-Pearsondetection attach while the settings of the Bayesian distributed with detectionsystem is kept.