Approximate message passing for sparse recovering of spatially and temporally correlated data
To meet the need of data-intensive continuous monitoring, recent research on energy-
efficient data gathering in wireless sensor networks (WSNs) has explored the use of …
efficient data gathering in wireless sensor networks (WSNs) has explored the use of …
Hierarchical data aggregation using compressive sensing (HDACS) in WSNs
Energy efficiency is one of the key objectives in data gathering in wireless sensor networks
(WSNs). Recent research on energy-efficient data gathering in WSNs has explored the use …
(WSNs). Recent research on energy-efficient data gathering in WSNs has explored the use …
Exploiting temporal correlation of sparse signals in wireless sensor networks
AS Alwakeel, MF Abdelkader… - 2014 IEEE 79th …, 2014 - ieeexplore.ieee.org
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 …
bandwidth is still a challenging issue. Recently, the sparse nature of these data motivated …
Compressive multi-attribute data gathering using hankel matrix in wireless sensor networks
J He, Y Zhou, G Sun, Y Xu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
For heterogeneous WSNs with various types of sensors, compressive data gathering
method requires more measurements due to the increased multiple attributes. In this letter, a …
method requires more measurements due to the increased multiple attributes. In this letter, a …
Joint correlated compressive sensing based on predictive data recovery in WSNs
Data sampling is critical process for energy constrained Wireless Sensor Networks. In this
article, we proposed a Predictive Data Recovery Compressive Sensing (PDR-CS) …
article, we proposed a Predictive Data Recovery Compressive Sensing (PDR-CS) …
Hierarchical Data Gathering Scheme for Energy Efficient Wireless Sensor Network
J Chen, Z Chang - … Journal of Future Generation Communication and …, 2016 - earticle.net
Compressive Data Gathering (CDG) has recently emerged to provide energy efficient data
aggregation in wireless sensor networks (WSNs). Existing CDG is done by forming a span …
aggregation in wireless sensor networks (WSNs). Existing CDG is done by forming a span …
1‐Bit Compressive Data Gathering for Wireless Sensor Networks
J Xiong, Q Tang - Journal of Sensors, 2014 - Wiley Online Library
Compressive sensing (CS) has been widely used in wireless sensor networks for the
purpose of reducing the data gathering communication overhead in recent years. In this …
purpose of reducing the data gathering communication overhead in recent years. In this …
Energy-efficient data recovery via greedy algorithm for wireless sensor networks
Z Zou, Z Li, S Shen, R Wang - International Journal of …, 2016 - journals.sagepub.com
Accelerating energy consumption and increasing data traffic have become prominent in
large-scale wireless sensor networks (WSNs). Compressive sensing (CS) can recover data …
large-scale wireless sensor networks (WSNs). Compressive sensing (CS) can recover data …
Spatiotemporal data gathering based on compressive sensing in WSNs
C Zhang, O Li, X Tong, K Ke, M Li - IEEE Wireless …, 2019 - ieeexplore.ieee.org
In wireless sensor networks (WSNs), sensor readings have spatiotemporal correlation, and
wireless links are unreliable. To balance the energy-performance trade-off and reduce the …
wireless links are unreliable. To balance the energy-performance trade-off and reduce the …
STCDG: An efficient data gathering algorithm based on matrix completion for wireless sensor networks
Data gathering in sensor networks is required to be efficient, adaptable and robust.
Recently, compressive sensing (CS) based data gathering shows promise in meeting these …
Recently, compressive sensing (CS) based data gathering shows promise in meeting these …