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Smart Sensing Period for Efficient Energy Consumption in IoT Network.
1Department of Computer Information and Communication Engineering, Kangwon National University, Chuncheon, Gangwondo 200-701, Korea.
Sensors (Basel, Switzerland)
|November 14, 2019
Summary
This study introduces a smart sensing period policy for Internet of Things (IoT) networks. The new method optimizes battery energy consumption, reducing waste compared to fixed sensing schedules.
Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Internet of Things (IoT) devices rely on battery power for operation.
- Environmental factors influence device power consumption.
- Fixed sensing periods in current IoT networks lead to inevitable battery power wastage.
Purpose of the Study:
- To propose a smart sensing period policy for efficient energy consumption in IoT networks.
- To enhance the longevity of IoT devices by reducing power usage.
Main Methods:
- Development of a smart sensing period policy.
- Utilization of a learning model based on a back-propagation neural network.
- Implementation of a policy to avoid unnecessary sensing operations.
Main Results:
- The proposed method efficiently manages battery energy within target timeframes.
- Demonstrated reduction in battery power consumption rates compared to existing methods.
- Elimination of surplus or wastage in preserved battery energy.
Conclusions:
- The smart sensing period policy effectively reduces energy consumption in IoT networks.
- This approach enhances the operational lifespan of IoT devices.
- Back-propagation neural networks offer a viable solution for optimizing IoT power management.
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