Kalman Filtering Based Adaptive Transfer in Energy Harvesting IoT Networks
In this paper, we investigate an energy prediction algorithm based on Kalman filtering in energy harvesting IoT networks. The IoT nodes harvest renewable energy from nature and powered by green energy only. Owing to the space-time instability and non-uniformity of renewable energy, the IoT nodes may...
Main Authors: | Hu Yao, Wu Muqing |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9095294/ |
Similar Items
-
Compositional Kalman Filters for Navigational Data Streams In IoT Systems
by: Boiko, Yuri
Published: (2018) -
IoT Implementation of Kalman Filter to Improve Accuracy of Air Quality Monitoring and Prediction
by: Xiaozheng Lai, et al.
Published: (2019-05-01) -
A Survey of NFC Sensors Based on Energy Harvesting for IoT Applications
by: Antonio Lazaro, et al.
Published: (2018-11-01) -
Energy Harvesting towards Self-Powered IoT Devices
by: Hassan Elahi, et al.
Published: (2020-10-01) -
The Wireless Solution to Realize Green IoT: Cellular Networks with Energy Efficient and Energy Harvesting Schemes
by: Yuan Ren, et al.
Published: (2020-11-01)