FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies
Laura Acosta Garc\'ia, Juan Aznar Poveda, Fabian Margreiter, Antonio-Javier Garc\'ia S\'anchez, Joan Garc\'ia Haro, Thomas Fahringer, Jos\'e Lorente L\'opez, Jos\'e-V\'ictor Rodr\'iguez

TL;DR
FAST-LoRa is a new simulation framework that provides fast, accurate, and computationally efficient evaluation of LoRaWAN network performance and parameter strategies, especially suited for stable, uplink-focused scenarios.
Contribution
It introduces an analytical, lightweight simulation tool that significantly reduces computation time while maintaining accuracy compared to traditional detailed simulators.
Findings
Achieves similar accuracy to established simulators in estimating network metrics.
Reduces simulation time by up to three orders of magnitude.
Maintains low error margins in complex interference scenarios.
Abstract
The Internet of Things (IoT) has transformed many industries, and LoRaWAN (Long Range Wide Area Network), built on LoRa (Long Range) technology, has become a crucial solution for enabling scalable, low-cost, and energy-efficient communication in wide-area networks. Simulation tools are essential for optimizing the transmission parameters and, therefore, the energy efficiency and performance of LoRaWAN networks. While existing simulation frameworks accurately replicate real-world scenarios by including multiple layers of communication protocols, they often imply significant computational overhead and simulation times. To address this issue, this paper introduces FAST-LoRa, a novel simulation framework designed to enable fast and efficient evaluation of LoRaWAN networks and selection of transmission parameters. FAST-LoRa streamlines computation by relying on analytical models without…
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