APTAPPO+: A Lightweight Trust-Aware Reinforcement Learning Routing Algorithm for IoT Networks
Keywords:
Internet of Things, Reinforcement Learning, Trust Management, Anomaly Detection, Secure Routing, LSTM, Proximal Policy Optimization, Multi-agent SystemsAbstract
The proliferation of Internet of Things (IoT) net-works has introducedunprecedented challenges in ensuring se-cure, adaptive, and efficient routing protocols capable ofhandling dynamic topologies, resource constraints, and malicious entities. This paper presents APTAPPO+ (Adaptive Trust-Predictive
References
L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Computer networks, vol. 54, no. 15, pp. 2787–2805, 2010.
M. R. Palattella, M. Dohler, A. Grieco, G. Rizzo, J. Torsner, T. Engel, and L. Ladid, “Internet of things in the 5g era: Enablers, architecture, and business models,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 510–527, 2016.
Downloads
Published
2024-11-20
How to Cite
Hitesh Parmar,Dr. Hardik Joshi ,Dr. Kamaljit I. Lakhtaria. (2024). APTAPPO+: A Lightweight Trust-Aware Reinforcement Learning Routing Algorithm for IoT Networks. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6383–6411. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3754
Issue
Section
Articles
