This paper reviews the classical decentralized decision theory in the light of new constraints
and requirements. The central theme that transcends various aspects of signal processing …

In this paper basic results on distributed detection are reviewed. In particular we consider
the parallel and the serial architectures in some detail and discuss the decision rules …

The paper deals with the f-divergences of CsiszÁr generalizing the discrimination
information of Kullback, the total variation distance, the Hellinger divergence, and the …

We consider a new scheme for distributed detection based on a" censoring" or" send/no-
send" idea. The sensors are assumed to" censor" their observations so that each sensor …

This paper considers a problem of distributed hypothesis testing over a network. Individual
nodes in a network receive noisy local (private) observations whose distribution is …

Consider a situation where a set of distributed sensors and a fusion center wish to cooperate
to estimate an unknown parameter over a bounded interval [-U, U]. Each sensor collects one …

We study the problem of distributed detection, where a set of nodes is required to decide
between two hypotheses based on available measurements. We seek fully distributed and …

Signal estimation from a sequential encoding in the form of quantized noisy measurements
is considered. As an example context, this problem arises in a number of remote sensing …

In this paper, we study a binary decentralized detection problem in which a set of sensor
nodes provides partial information about the state of nature to a fusion center. Sensor nodes …

The applications of sensor networks (SNs) are increasing since they facilitate real-time
remote information monitoring and processing. Detection of an event is one of the main …