Distributed Estimation in Distributed Sensor Networks

A distributed sensor network (DSN) provides a very rich scenario for the study of distributed estimation problems. Two important distributed estimation problems in DSN which hitherto have not received much attention in the literature are considered in this paper. The first problem is distributed multi-target tracking and classification. A distributed multi-target tracker and classifier, obtained by decomposing a centralized Generalized Tracker/Classifier is presented. The second problem is related to the network structure of a DSN. By considering a static estimation problem, we illustrate the main issues and present some results.