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Author

Parisa Khoshvaght

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ASGRR: Adaptive Swarm-Guided Graph Policy Routing for energy-efficient WSN-IoT networks

This paper proposes ASGRR (Adaptive Swarm-Guided Graph Policy Routing), a novel hybrid routing framework that integrates Message Passing Neural Networks, Policy Gradient Reinforcement Learning (PGRL), and the Artificial Bee Colony algorithm in a self-adaptive hybrid form.

Mehdi Hosseinzadeh, Parisa Khoshvaght, Amir Masoud Rahmani et al. · 0 citations
Open access Aug 2026

TLQ-Geo: a two-level q-learning-based geographic routing protocol for flying ad hoc networks

A two-level Q-learning-based geographic routing protocol called TLQ-Geo for FANETs, which significantly reduces convergence time and computational overhead and integrates hierarchical decision-making with adaptive reinforcement learning.

Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani et al. · 0 citations

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