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Trust-Based Intelligent Routing Protocol with Q-Learning for Mission-Critical Wireless Sensor Networksoa mark
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Publication Year
2022-06-01
Journal
Sensors
Publisher
MDPI
Citation
Sensors, Vol.22 No.11
Keyword
mission-critical wireless sensor networkQ-learningQoSreinforcement learningtrust-based routing
Mesh Keyword
Critical dataEnd to end delayEnd-to-end reliabilitiesIntelligent routingMission criticalMission-critical wireless sensor networkQ-learningRouting-protocolRoutingsTrust-based routing
All Science Classification Codes (ASJC)
Analytical ChemistryInformation SystemsAtomic and Molecular Physics, and OpticsBiochemistryInstrumentationElectrical and Electronic Engineering
Abstract
Mission-critical wireless sensor networks require a trustworthy and punctual routing protocol to ensure the worst-case end-to-end delay and reliability when transmitting mission-critical data collected by various sensors to gateways. In particular, the trustworthiness of mission-critical data must be guaranteed for decision-making and secure communications. However, it is a challenging issue to meet the requirement of both reliability and QoS in sensor networking environments where cyber-attacks may frequently occur and a lot of mission-critical data is generated. This study proposes a trust-based routing protocol that learns the trust elements using Q-learning to detect various attacks and ensure network performance. The proposed mechanism ensures the prompt detection of cyber threats that may occur in a mission-critical wireless sensor network and guarantees the trustworthy transfer of mission-critical sensor data. This paper introduces a distributed transmission technology that prioritizes the trustworthiness of mission-critical data through Q-learning results considering trustworthiness, QoS, and energy factors. It is a technology suitable for mission-critical wireless sensor network operational environments and can reliably operate resource-constrained devices. We implemented and performed a comprehensive evaluation of our scheme using the OPNET simulator. In addition, we measured packet delivery rates, throughput, survivability, and delay considering the characteristics of mission-critical sensor networks. The simulation results show an enhanced performance when compared with other mechanisms.
ISSN
1424-8220
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/32717
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130786749&origin=inward
DOI
https://doi.org/10.3390/s22113975
Journal URL
https://www.mdpi.com/1424-8220/22/11/3975/pdf?version=1653387068
Type
Article
Funding
Funding: This work has been supported by the Future Combat System Network Technology Research Center program of Defense Acquisition Program Administration and Agency for Defense Development (UD190033ED).
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Ko, Young-Bae고영배
Department of Software and Computer Engineering
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