A Reliable Approach for Lightweight Anomaly Detection in Sensors Using Continuous Wavelet Transform and Vector Clustering-Reference-Cited by-同舟云学术

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A Reliable Approach for Lightweight Anomaly Detection in Sensors Using Continuous Wavelet Transform and Vector Clustering

Published:2024-08-01 Issue:15 Volume:24 Page:24921-24930
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ahmad Rami¹^ORCID,Alhasan Waseem²^ORCID,Wazirali Raniyah³^ORCID,Almajalid Rania³^ORCID

Affiliation:

1. College of Computer Information Technology, American University in the Emirates, Dubai, United Arab Emirates

2. Berlin School of Business and Innovation GmbH, Berlin, Germany

3. College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10555508.pdf?arnumber=10555508

Reference33 articles.

1. Adaptive mean center of mass particle swarm optimizer for auto-localization in 3D wireless sensor networks

2. Two-Level Sensor Self-Calibration Based on Interpolation and Autoregression for Low-Cost Wireless Sensor Networks

3. Digital-care in next generation networks: Requirements and future directions

4. Survey on the authentication and key agreement of 6LoWPAN: Open issues and future direction

5. Anomaly Detection in Logical Sub-Views of WSNs

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