A reliable and energy efficient dual prediction data reduction approach for WSNs based on Kalman filter-Reference-Cited by-同舟云学术

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A reliable and energy efficient dual prediction data reduction approach for WSNs based on Kalman filter

Published:2021-07-29 Issue:18 Volume:15 Page:2285-2299
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Wang Haibin¹,Yemeni Zaid¹,Ismael Waleed M.¹,Hawbani Ammar²^ORCID,Alsamhi Saeed H.³

Affiliation:

1. College of IoT Engineering Hohai University Changzhou, Jiangsu China

2. School of Computer Science and Technology University of Science and Technology of China Hefei China

3. Software Research Institute Athlone Institute of Technology Athlone Ireland

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12262

Reference38 articles.

1. A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks

2. Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks

3. Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications

4. A DBN Approach to Predict the Link in Opportunistic Networks

5. Benefits of data aggregation on energy consumption in wireless sensor networks

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4. EDiTOK: Energy-Efficient Distributed Transmission Optimization-Based Kalman–Zlib Approaches for Monitoring Smart Farming Irrigation in Internet of Things Networks;Lecture Notes in Networks and Systems;2024

5. Autonomous Internet of Things (IoT) Data Reduction Based on Adaptive Threshold;Sensors;2023-11-26

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