IEEE Access, 2018 Microseismic monitoring is widely applied in dams, mines, and various fields of underground engineering. The number of sensors in microseismic monitoring systems is usually very large, which will result in a huge amount of data being produced if the ...
Ran Zhang +3 more
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Energy-Efficient Distributed Compressed Sensing Data Aggregation for Cluster-Based Underwater Acoustic Sensor Networks [PDF]
International Journal of Distributed Sensor Networks, 2016 Energy-efficient data aggregation is important for underwater acoustic sensor networks due to its energy constrained character. In this paper, we propose a kind of energy-efficient data aggregation scheme to reduce communication cost and to prolong ...
Deqing Wang, Ru Xu, Xiaoyi Hu, Wei Su
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Distributed compressed sensing for sensor networks with packet erasures [PDF]
, 2014 We study two approaches to distributed compressed sensing for in-network data compression and signal reconstruction at a sink in a wireless sensor network where sensors are placed on a straight line.
Christopher Lindberg +2 more
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CDCS: Cluster-Based Distributed Compressed Sensing to Facilitate QoS Routing in Cognitive Video Sensor Networks [PDF]
Entropy, 2019 Compressed sensing based in-network compression methods which minimize data redundancy are critical to cognitive video sensor networks. However, most existing methods require a large number of sensors for each measurement, resulting in significant ...
Hang Shen +3 more
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Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System [PDF]
Sensors, 2018 The dual-channel synthetic aperture radar (SAR) system is widely applied in the field of ground moving-target indication (GMTI). With the increase of the imaging resolution, the resulting substantial raw data samples increase the transmission and storage
Jing Liu +3 more
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A Distributed Compressed Sensing-based Algorithm for the Joint Recovery of Signal Ensemble [PDF]
Radioengineering, 2018 This paper considers sparsity-aware adaptive compressed sensing acquisition and the joint reconstruction of intra- and inter-correlated signals in the wireless sensor networks via distributed compressed sensing.
J. A. Jahanshahi +2 more
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Efficient distributed storage strategy based on compressed sensing for space information network [PDF]
International Journal of Distributed Sensor Networks, 2016 This article investigates the distributed data storage problem with compressed sensing in the space information network. Since there exists a performance-energy trade-off, most existing strategies focus only on improving the compressed sensing ...
Bo Kong +4 more
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HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing [PDF]
IEEE Access, 2020 Iterative hard thresholding (IHT) is a beneficial tool for the recovery of sparse vectors in compressed sensing. In this study, we propose a high-accuracy distributed iterative hard thresholding algorithm (HDIHT) with explicit consideration given to the ...
Xiaming Chen, Zhuang Qi, Jianlong Xu
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Compressed Sensing-Based Distributed Image Compression [PDF]
Applied Sciences, 2014 In this paper, a new distributed block-based image compression method based on the principles of compressed sensing (CS) is introduced. The coding and decoding processes are performed entirely in the CS measurement domain.
Muhammad Yousuf Baig +2 more
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Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data
Sensors, 2017 With the development of hyperspectral technology, to establish an effective spectral data compressive reconstruction method that can improve data storage, transmission, and maintaining spectral information is critical for quantitative remote sensing ...
Ping Xu +4 more
doaj +3 more sources