Multi-Objective Optimization of Gateway Location Selection in Long-Range Wide Area Networks: A Tradeoff Analysis between System Costs and Bitrate Maximization

IF 3.3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Sensor and Actuator Networks Pub Date : 2024-01-02 DOI:10.3390/jsan13010003

Charuay Savithi, Chutchai Kaewta

{"title":"Multi-Objective Optimization of Gateway Location Selection in Long-Range Wide Area Networks: A Tradeoff Analysis between System Costs and Bitrate Maximization","authors":"Charuay Savithi, Chutchai Kaewta","doi":"10.3390/jsan13010003","DOIUrl":null,"url":null,"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.","PeriodicalId":37584,"journal":{"name":"Journal of Sensor and Actuator Networks","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sensor and Actuator Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jsan13010003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

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.

查看原文本刊更多论文

远距离广域网中网关位置选择的多目标优化：系统成本与比特率最大化之间的权衡分析

LoRaWAN 在智能农业、工业物联网和智能城市等各种应用中发挥着至关重要的作用。网关的战略布局对网络性能优化有重大影响。本研究全面分析了系统成本与比特率最大化之间的权衡，以选择 LoRaWAN 中的最佳网关位置。为应对这一挑战，我们制定了一个严格的数学模型，将与网关选择相关的重要因素和约束条件纳入其中。此外，我们还提出了一种被称为 M-VaNSAS 算法的创新元启发式算法，该算法可有效探索解决方案空间并确定有利的网关位置。我们采用帕累托前沿法和 TOPSIS 法对生成的解决方案进行评估和排序，从而提供了一个稳健的评估框架。我们的研究结果突出表明，由 144 个网关组成的网络模型非常适合乌汶叻差他尼府。在所评估的算法中，M-VaNSAS 方法在网关位置选择方面表现出卓越的效率，优于 PSO、DE 和 GA 方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Sensor and Actuator Networks Physics and Astronomy-Instrumentation

CiteScore

7.90

自引率

2.90%

发文量

审稿时长

11 weeks

期刊介绍： Journal of Sensor and Actuator Networks (ISSN 2224-2708) is an international open access journal on the science and technology of sensor and actuator networks. It publishes regular research papers, reviews (including comprehensive reviews on complete sensor and actuator networks), and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.