RESEARCH DIRECTION 01

Wireless Networks
& RF Systems.

Research background

My research in Wireless Networks and RF Systems focuses on developing intelligent, efficient, and reliable communication systems for increasingly dynamic wireless environments. My work spans wireless sensor networks, 5G radio access networks, RF electromagnetic fields, mobility and coverage optimization, energy-efficient routing, network reliability, and adaptive resource management. A central theme of my research is the integration of reinforcement learning, multi-agent systems, and optimization techniques with wireless communications to enable networks that can adapt autonomously to changing conditions. I have worked on problems ranging from autonomous coverage optimization in mobile wireless sensor networks to energy-aware routing, cluster-head selection, and power management for long-life sensor deployments. My RF-related research also extends to the study of radiofrequency electromagnetic fields and their interaction with biological systems. Through this work, I aim to bridge communication theory, intelligent network control, and practical system design, with a particular interest in technologies that can contribute to the evolution of next-generation wireless networks and IoT infrastructures.

Three-dimensional field of densely distributed sensor nodes, six clusters, relay paths and flowing data routed toward a central gateway.

Research focus

01Sensor networks

Clustering, routing, and reliable sensing.

I study how reinforcement learning, multi-agent coordination, and energy-aware routing can balance traffic and extend the operating life of sensor networks.

02RF & communication systems

Connect communication theory to system design.

My work also examines radio-frequency systems, coverage, mobility, network reliability, and the interaction of electromagnetic fields with biological systems.

Related publications

05 publications
Journal article

A Game-Theoretic Reinforcement Learning Approach to Energy-Balanced Cluster-Head Selection in Wireless Sensor Networks

Mehrshad Eskandarpour · Parham Soltani · Hossein Soleimani

Year
2026
Journal
IET Networks

Wiley / IET · Volume 15, Issue 1 · Article e70036

View paper
Journal article

Potential Impacts of Radiofrequency Electromagnetic Fields on the Central Nervous System, Brain Neurotransmitter Dynamics and Reproductive System

Mehrshad Eskandarpour · A. Nooramin

Year
2025
Journal
AUT Journal of Electrical Engineering

Amirkabir University Press · 58 (Special Issue 1) · pp. 85–104

View paper
Preprint

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach

Parham Soltani · Mehrshad Eskandarpour · Sina Heidari · Farnaz Alizadeh · Hossein Soleimani

Year
2025
Source
arXiv

Networking and Internet Architecture · 2508.14676

View paper
Preprint

Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach

Parham Soltani · Mehrshad Eskandarpour · Amir Ahmadizad · Hossein Soleimani

Year
2025
Source
arXiv

Networking and Internet Architecture · 2508.14679

View paper
Journal article

Enhancing Lifetime and Reliability in WSNs: Complementary of Dual-Battery Systems Energy Management Strategy

Mehrshad Eskandarpour · Hossein Soleimani

Year
2025
Journal
International Journal of Distributed Sensor Networks

Wiley · Volume 2025, Issue 1 · Article 5870686

View paper