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Title Multi-Objective Optimization Of Gateway Location Selection In Long-Range Wide Area Networks: A Tradeoff Analysis Between System Costs And Bitrate Maximization
ID_Doc 38321
Authors Savithi C.; Kaewta C.
Year 2024
Published Journal of Sensor and Actuator Networks, 13, 1
DOI http://dx.doi.org/10.3390/jsan13010003
Abstract LoRaWANs play a critical role in various applications such as smart farming, industrial IoT, and smart cities. The strategic placement of gateways significantly influences network performance optimization. This study presents a comprehensive analysis of the tradeoffs between system costs and bitrate maximization for selecting optimal gateway locations in LoRaWANs. To address this challenge, a rigorous mathematical model is formulated to incorporate essential factors and constraints related to gateway selection. Furthermore, we propose an innovative metaheuristic algorithm known as the M-VaNSAS algorithm, which effectively explores the solution space and identifies favorable gateway locations. The Pareto front and TOPSIS methods are employed to evaluate and rank the generated solutions, providing a robust assessment framework. Our research findings highlight the suitability of a network model comprising 144 gateways tailored for the Ubon Ratchathani province. Among the evaluated algorithms, the M-VaNSAS method demonstrates exceptional efficiency in gateway location selection, outperforming the PSO, DE, and GA methods. © 2024 by the authors.
Author Keywords gateway location selection; LoRaWANs; metaheuristic algorithm; multi-objective optimization; system costs


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