A wireless sensor network with multimedia capabilities typically consists of data sensor
nodes, which sense, for instance, sound or motion, and video sensor nodes, which capture …

A unified view of the area of sparse signal processing is presented in tutorial form by
bringing together various fields in which the property of sparsity has been successfully …

We propose a novel event data collection approach named reliability and multipath
encounter routing (RMER) for meeting reliability and energy efficiency requirements. The …

This article describes a very different approach to the decentralized compression of
networked data. Considering a particularly salient aspect of this struggle that revolves …

Wireless Sensor Networks (WSN) are mainly characterized by dense deployment of sensor
nodes which collectively transmit information about sensed events to the sink. Due to the …

Compressive Sampling is an emerging theory that is based on the fact that a relatively small
number of random projections of a signal can contain most of its salient information. In this …

A single memoryless Gaussian source is observed by many terminals, subject to
independent Gaussian observation noises. The terminals are linked to a fusion center via a …

Capacity is often studied under constraints on the channel input signals. This paper
investigates the behavior of capacity when constraints are placed on the channel output …

Energy harvesting from the working environment has received increasing attention in the
research of wireless sensor networks. Recent developments in this area can be used to …

The capacity of a particular large Gaussian relay network is determined in the limit as the
number of relays tends to infinity. Upper bounds are derived from cut-set arguments, and …