Recurrent Neural Network-Based Optimal Sensing Duty Cycle Control Method for Wireless Sensor Networks

Recurrent Neural Network-Based Optimal Sensing Duty Cycle Control Method for Wireless Sensor Networks

With the development of Internet of Things (IoT) technologies, environmental monitoring systems using wireless sensor networks (WSNs) have received considerable attention. Reliable object detection and tracking is an important research issue in various WSN applications, such as environment and disas...

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Bibliographic Details
Main Authors: Seung-Hee Choi, Sang-Jo Yoo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Duty cycle control
machine learning
object tracking
recurrent neural network
wireless sensor networks
Online Access:https://ieeexplore.ieee.org/document/9540599/

Internet

https://ieeexplore.ieee.org/document/9540599/

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