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) …

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 …

For large-scale sensor networks deployed for data gathering, energy efficiency is critical.
Eliminating the data correlation is a promising technique for energy efficiency. Compressive …

Efficient data aggregation in sensor networks is becoming important with the increase of the
number of nodes in the networks. In this paper, we propose a distributed compressed …

This paper considers energy efficient distributed data gathering methods for correlated data
field monitoring in multi-hop wireless sensor networks (WSNs) via compressed sensing …

Wireless sensor networks (WSNs) are widely used for monitoring physical phenomena of
interest, but one of the major challenges for designing sensor networks is to minimize …

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

Data collection is a crucial operation in wireless sensor networks. The design of data
collection schemes is challenging due to the limited energy supply and the hot spot problem …

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 …