The development of compressive sensing (CS) technology has inspired data gathering in
wireless sensor networks to move from traditional raw data gathering towards compression …

Compressive sensing (CS) based data gathering is a promising approach to reduce data
sampling and transmission in wireless sensor networks and thus prolong WSN's lifetime …

The recently emerged compressive sensing (CS) theory provides a whole new avenue for
data gathering in wireless sensor networks with benefits of universal sampling and …

Collecting data continuously in Wireless Sensor Networks (WSNs) with limited power and
bandwidth is still a challenging issue. Recently, the sparse nature of these data motivated …

Data sampling is critical process for energy constrained Wireless Sensor Networks. In this
article, we proposed a Predictive Data Recovery Compressive Sensing (PDR-CS) …

Compressive sensing (CS) is an effective strategy for data collection and maintaining energy
consumption balance in wireless sensor networks (WSN). CS usually exploits the space …

Compressive sensing (CS) is a new technology in digital signal processing capable of high-
resolution capture of physical signals from few measurements, which promises impressive …

Mobile sensor networks have unique advantages compared with wireless sensor networks.
The mobility enables mobile sensors to flexibly reconfigure themselves to meet sensing …

Compressive data gathering, which is based on the recent breakthroughs in compressive
sensing theory, has been proposed as a viable approach for sensor network data collection …

The high number of transmissions in sensor nodes having a limited amount of energy leads
to a drastic decrease in the lifetime of wireless sensor networks. For dense sensor networks …