We investigate the optimal performance of dense sensor networks by studying the joint
source-channel coding problem. The overall goal of the sensor network is to take …

We investigate the optimal performance of dense sensor networks by studying the joint
source-channel coding problem. The overall goal of the sensor network is to take …

We investigate the optimal performance of dense sensor networks by studying the joint
source–channel coding problem. There are N uniformly spaced sensor nodes sampling …

A limited energy budget is a major obstacle to the practical, wide deployment of sensor
networks and hence necessitates the judicious optimization of available resources. In this …

In the Shannon-theoretic analysis of joint source-channel coding problems, achievability is
usually established via a two-stage approach: The sources are compressed into bits, and …

Feedback can considerably simplify the task of approaching and achieving the performance
limits predicted by information theory. This paper determines some of the potential offered by …

In this paper, we investigate the distortion sum-rate performance of the successive coding
strategy in the so-called quadratic Gaussian CEO problem. In the CEO problem, the central …

For a class of sensor networks, the task is to monitor an underlying physical phenomenon
over space and time through an imperfect observation process. The sensors can …

In a sensor network, each sensor makes a local observation of some underlying physical
phenomenon, and sends a quantized version of the observation to a central office via …

In this paper, we study the problem of designing routes for source coding with explicit side
information (ie, with side information at both the encoder and the decoder) in sensor …