Although compressed sensing (CS) has been envisioned as a useful technique to improve
the performance of wireless sensor networks (WSNs), it is still not very clear how exactly it …

As a burgeoning technique for signal processing, compressed sensing (CS) is being
increasingly applied to wireless communications. However, little work is done to apply CS to …

In this paper, we study the problem of data acquisition in wireless sensor networks (WSNs).
A recently revitalized technique called compressive sensing (CS) has presented a new …

Compressive sensing (CS) provides a new paradigm for efficient data gathering in wireless
sensor networks (WSNs). In this paper, with the assumption that sensor data is sparse we …

Compressive Sensing (CS) shows high promise for fully distributed compression in wireless
sensor networks (WSNs). In theory, CS allows the approximation of the readings from a …

Compressed Sensing (CS) can be introduced in the processing chain of a sensor node as a
mean to globally reduce its operating cost, while maximizing the quality of the acquired …

Sensing of the application environment is the main purpose of a wireless sensor network.
Most existing energy management strategies and compression techniques assume that the …

Improving the lifetime of wireless sensor networks (WSNs) is directly related to the energy
efficiency of computation and communication operations in the sensor nodes. Compressive …

Compressive sensing (CS) is a new approach to simultaneous sensing and compressing
that is highly promising for fully distributed compression in wireless sensor networks …

This paper considers sequential compressed acquisition and progressive reconstruction of
spatially and temporally correlated sensor data streams in wireless sensor networks (WSNs) …