RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks.

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

Abstract

Wireless medical sensor networks (WMSNs) offer innovative healthcare applications that improve patients' quality of life, provide timely monitoring tools for physicians, and support national healthcare systems. However, despite these benefits, widespread adoption of WMSN advancements is still hampered by security concerns and limitations of routing protocols. Routing in WMSNs is a challenging task due to the fact that some WMSN requirements are overlooked by existing routing proposals. To overcome these challenges, this paper proposes a reliable multi-agent reinforcement learning based routing protocol (RRP). RRP is a lightweight attacks-resistant routing protocol designed to meet the unique requirements of WMSN. It uses a novel Q-learning model to reduce resource consumption combined with an effective trust management system to defend against various packet-dropping attacks. Experimental results prove the lightweightness of RRP and its robustness against blackhole, selective forwarding, sinkhole and complicated on-off attacks.

Citation

HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2023. RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks. In Proceedings of the 20th IEEE (Institute of Electrical and Electronics Engineers) Consumer communications and networking conference 2023 (CCNC 2023), 8-11 January 2023, Las Vegas, USA. Piscataway: IEEE [online], pages 781-789. Available from: https://doi.org/10.1109/CCNC51644.2023.10060225

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 20th IEEE (Institute of Electrical and Electronics Engineers) Consumer communications and networking conference 2023 (CCNC 2023)
• Start Date: Jan 8, 2023
• End Date: Jan 11, 2023
• Acceptance Date: Sep 30, 2022
• Online Publication Date: Jan 11, 2023
• Publication Date: Mar 17, 2023
• Deposit Date: Apr 6, 2023
• Publicly Available Date: Apr 6, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 781-789
• Series ISSN: 2331-9860
• Book Title: Proceedings of the 20th IEEE (Institute of Electrical and Electronics Engineers) Consumer communications and networking conference 2023 (CCNC 2023)
• ISBN: 9781665497343
• DOI: https://doi.org/10.1109/CCNC51644.2023.10060225
• Keywords: Routing; Reinforcement learning; Trust management; Blackhole; Selective forwarding; Sinkhole; On-off
• Public URL: https://rgu-repository.worktribe.com/output/1931448