Wireless Networks Researcher
François d’Assise Sanou
PhD Candidate in Computer Science · LPWAN Systems and LoRaWAN Performance
Department of Computer Science, Nazi Boni University, Burkina Faso
Research Summary
I design and evaluate LoRa/LoRaWAN communication strategies for dense and heterogeneous IoT deployments. My work combines reproducible simulation campaigns and analytical modeling to characterize packet delivery ratio, energy use, and end-to-end latency under realistic traffic and propagation constraints.
Through LoRaFlexSim, I build modular simulation workflows that support scenario scaling, algorithm benchmarking, and protocol-level experimentation. The framework enables controlled comparisons of ADR policies, gateway placement strategies, and MAC-layer configurations with traceable performance indicators.
I focus on measurable contributions: reducing collision rates, improving fairness across spreading factors, and increasing network capacity while preserving battery lifetime. This orientation guides both my current doctoral research and collaborative open-source development for LPWAN researchers and practitioners.