DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network

Muhammad Shadi Hajar*, Harsha Kalutarage, M. Omar Al-Kadri

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Original languageEnglish
    Title of host publicationSecurity and Privacy in Communication Networks - 18th EAI International Conference, SecureComm 2022, Proceedings
    EditorsFengjun Li, Kaitai Liang, Zhiqiang Lin, Sokratis K. Katsikas
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages611-629
    Number of pages19
    ISBN (Print)9783031255373
    DOIs
    Publication statusPublished (VoR) - 2023
    Event18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022 - Virtual, Online
    Duration: 17 Oct 202219 Oct 2022

    Publication series

    NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
    Volume462 LNICST
    ISSN (Print)1867-8211
    ISSN (Electronic)1867-822X

    Conference

    Conference18th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2022
    CityVirtual, Online
    Period17/10/2219/10/22

    Keywords

    • Blackhole attack
    • Double Q-learning
    • Reinforcement Learning
    • Routing
    • Selective forwarding attack
    • Sinkhole attack
    • Trust management

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