Wireless Sensor Networks (WSNs) have been deeply studied by many researchers and
been widely used in many fields. Since a large amount of energy for WSNs is used for …

Compressive Sensing (CS) has been recognized as a promising technique to reduce and
balance the transmission cost in wireless sensor networks (WSNs). Existing efforts mainly …

In wireless sensor network existing spatial (inter) and temporal (intra) correlation causes
redundant data in the network. Exploiting the existing spatial (inter) and temporal (intra) …

Compressive data gathering (CDG) based on compressed sensing (CS) theory for wireless
sensor networks (WSNs) greatly reduces the amount of data transmitted compared with the …

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 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 …

An energy-efficient data gathering method for resource-constrained Wireless Sensor
Networks (WSNs) is Compressive Sensing (CS). CS promises the construction of a …

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

The integration between data collection methods in wireless sensor networks (WSNs) and
compressive sensing (CS) provides energy efficient paradigms. Single-dimensional CS …

In wireless sensor network (WSN) redundant data gathering and transmission occurs due to
dense deployment. Recently compressive sensing (CS) has attracted considerable attention …