Distributed Signal Processing Algorithms for Wireless Sensor Networks

Authors

  • Ashwini S Chiwarkar

DOI:

https://doi.org/10.24113/ijoscience.v7i8.404

Keywords:

Wireless Sensor Network, WBAN, Distributed Signal Processing, Compressive sensing.

Abstract

Wireless Body Area Networks (WBAN), in particular in the field of wearable health monitoring system (WMB), such as electromagnetic cardiograms (ECG) data collecting system via WBANs in e-health applications, is becoming increasingly important for future communication systems. Compressive sensing (CS), on the other hand, has been shown to consume less power compared classic transform-coding-based approaches. We propose a new low-rank sparse deep signal recovery algorithm for recovering ECG data in the context of CS (Compressive sensing) because the spatial and temporal data collected by a WBAN have some closely correlated structures in certain wavelet domains e.g., the discrete wavelet transform (DWT) domain

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Author Biography

Ashwini S Chiwarkar

Department of Electronics & Telecommunication Engineering

Shri Sant Gajanan Maharaj College of Engineering

Shegaon, Maharastra,India

References

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Published

08/28/2021

How to Cite

Chiwarkar, A. S. . (2021). Distributed Signal Processing Algorithms for Wireless Sensor Networks. SMART MOVES JOURNAL IJOSCIENCE, 7(8), 53–59. https://doi.org/10.24113/ijoscience.v7i8.404

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Articles