A subspace approach to sparse-sampling-based multi-attribute data aggregation in IoT

Structured Low-Rank Tensor Completion for IoT Spatiotemporal High-resolution Sensing Data Reconstruction

X Zhang, J He, XA Pan, Y Chi… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Due to various restrictions, some Internet of Things (IoT) sensing layers can only deploy a
small number of sensor nodes for spatiotemporal low-resolution environmental information …
被引用次数：2 相关文章

Tensor completion using high-order spatial delay embedding for IoT multi-attribute data reconstruction

X Zhang, J He, X Liu - IEEE Transactions on Signal and …, 2024 - ieeexplore.ieee.org
Restricted by various factors, the data collected by sensor nodes in some Internet of Things
(IoT) can only provide spatio-temporal low-resolution multi-attribute information of the …
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Linear Programming Models for the Design of Energy-Efficient IoT Networks With Transmission Constraints

EM Manuel, V Pankajakshan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Networks consisting of sensors of multiple transmission ranges are preferred for next-
generation wireless sensor networks because of their functional advantages. However, such …
被引用次数：2 相关文章

Efficient data management in Internet of Things: A survey of data aggregation techniques

X Kang - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
Abstract The Internet of Things (IoT) refers to a vast network of interconnected devices,
objects, and systems powered by sensors, software, and connectivity capabilities. The …
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An Energy-Efficient Data Management Approach Using Sparse Compression in Future-Ready IoT Networks

G George - International Conference on Computing and Network …, 2023 - Springer
IoT networks deployed for various industrial applications often consist of a large number of
wireless sensors deployed over an area. Minimizing energy consumption and optimizing …
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Energy-Efficient Transmission in Wireless Sensor Network Using Compressive Sensing

EM Manuel, AP Darshana - International Conference on Computing and …, 2023 - Springer
Minimizing energy consumption and maximizing network longevity through efficient data
transmission are open research problems in practical wireless sensor networks. The …
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Evaluation of Compressed Sensing and Recovery of Sound Signals Using Sparse Bayesian Learning Methods

EM Manuel, MP Ananya - International Conference on Computing and …, 2023 - Springer
Compressed sensing is a signal processing technique that is used for the efficient
acquisition and reconstruction of signals by finding solutions to under-determined linear …
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