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Smart Sensing Period for Efficient Energy Consumption in IoT Network.

Woojae Kim1, Inbum Jung1

  • 1Department of Computer Information and Communication Engineering, Kangwon National University, Chuncheon, Gangwondo 200-701, Korea.

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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.

Keywords:
battery energyinternet of thingsneural networkpower consumption ratesmart sensing period

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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.