Robust network compressive sensing

YC Chen, L Qiu, Y Zhang, G Xue, Z Hu - Proceedings of the 20th annual …, 2014 - dl.acm.org
Networks are constantly generating an enormous amount of rich diverse information. Such
information creates exciting opportunities for network analytics. However, a major challenge …

Adaptive strategy to improve the quality of communication for iot edge devices

B Sudharsan, JG Breslin, MI Ali - … 6th World Forum on Internet of …, 2020 - ieeexplore.ieee.org
In an IoT system, the response time of edge devices is calculated during the design time.
These edge devices continuously provide data streams to ensure the smooth execution of a …

On packet size and error correction optimisations in low-power wireless networks

C Noda, S Prabh, M Alves… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
In wireless networks that operate in those bands where spectrum sharing occurs across a
variety of wireless technologies, such as the license-free Industrial Scientific and Medical …

Outlier preservation by dimensionality reduction techniques

M Onderwater - … Journal of Data Analysis Techniques and …, 2015 - inderscienceonline.com
Sensors are increasingly part of our daily lives: motion detection, lighting control, and energy
consumption all rely on sensors. Combining this information into, for instance, simple and …

R-pf: Enhancing service regularity for legacy scheduling policy

A Jain, IH Hou - IEEE Transactions on Wireless …, 2015 - ieeexplore.ieee.org
We present a novel scheduling policy, regularity-aware proportional fair (R-PF) that
enhances service regularity for the legacy proportional fair (PF) scheduling policy. R-PF …

Limitation of Compressive Sensing

G Xue, YC Chen, F Lyu, M Li - Robust Network Compressive Sensing, 2022 - Springer
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