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Related Experiment Video

Updated: Sep 20, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networks.

DooHo Keum1, Young-Bae Ko2

  • 1LIG Nex1 Company Ltd., Seongnam 13488, Korea.

Sensors (Basel, Switzerland)
|June 10, 2022
PubMed
Summary

This study introduces a trust-based routing protocol for mission-critical wireless sensor networks. It uses Q-learning to detect cyber-attacks and ensure reliable data transfer, enhancing network performance and security.

Keywords:
Q-learningQoSmission-critical wireless sensor networkreinforcement learningtrust-based routing

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Area of Science:

  • Computer Science
  • Network Security
  • Artificial Intelligence

Background:

  • Mission-critical wireless sensor networks (MWSNs) demand reliable and timely data routing.
  • Ensuring data trustworthiness and Quality of Service (QoS) is challenging due to cyber-attacks and high data volumes.
  • Existing protocols struggle to balance reliability, QoS, and security in MWSNs.

Purpose of the Study:

  • To propose a novel trust-based routing protocol for MWSNs.
  • To enhance network security by detecting and mitigating cyber-attacks.
  • To guarantee trustworthy data transfer and optimize network performance.

Main Methods:

  • Developed a trust-based routing protocol utilizing Q-learning for attack detection.
  • Implemented a distributed transmission technology prioritizing data trustworthiness, QoS, and energy efficiency.
  • Evaluated the protocol using the OPNET simulator.

Main Results:

  • The proposed protocol effectively detects cyber threats in MWSNs.
  • Demonstrated enhanced network performance, including packet delivery rates, throughput, survivability, and reduced delay.
  • Achieved trustworthy transfer of mission-critical sensor data.

Conclusions:

  • The trust-based routing protocol is suitable for MWSN environments, even with resource-constrained devices.
  • Q-learning effectively enhances security and performance in MWSNs.
  • The proposed mechanism offers a reliable solution for mission-critical data transmission.