Gateway configuration in 2.4 GHz LoRa networks

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Dimitrios Zorbas , Luigi Di Puglia Pugliese , Ruana Saduakhas , Francesca Guerriero
{"title":"Gateway configuration in 2.4 GHz LoRa networks","authors":"Dimitrios Zorbas ,&nbsp;Luigi Di Puglia Pugliese ,&nbsp;Ruana Saduakhas ,&nbsp;Francesca Guerriero","doi":"10.1016/j.iot.2025.101567","DOIUrl":null,"url":null,"abstract":"<div><div>The LoRa radio technology has been recently expanded into the 2.4 GHz spectrum, which offers advantages such as increased bandwidth and global regulation compatibility. 2.4 GHz LoRa promises higher data rates and throughput, crucial for data-intensive industrial applications. It maintains key features such as long-range communication and low power consumption, making it suitable for various industrial Internet of Things (IoT) applications. However, 2.4 GHz gateways face challenges due to their design limitations that require only one Spreading Factor (SF) setting and channel to be assigned to each of the four available transceivers. This design limits the number of available options that the end-devices (EDs) can have and leads to resource allocation problems. To this extent, this paper presents a gateway configuration problem for 2.4 GHz LoRa gateways, mainly aiming at providing a trade-off between energy consumption and fairness among end-devices. A bi-objective optimization problem is introduced, which is solved by considering a convex combination of two objective functions. A <span><math><mi>λ</mi></math></span> <span><math><mrow><mo>∈</mo><mrow><mo>[</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></mrow></mrow></math></span> coefficient is employed to discover a Pareto optimal solution between the two objectives. Due to the high computational complexity of the integer linear programming (ILP) approach, two practical heuristics with lower computation costs are also proposed. Simulation results show that the proposed approaches exhibit better fairness and packet reception ratio (PRR) compared to the static configuration of gateways. Moreover, the results reveal that <span><math><mi>λ</mi></math></span> is capable of providing a trade-off between fairness and energy efficiency. The findings are confirmed by conducting experiments on a small-scale testbed consisting of 16 ESP32 devices.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"31 ","pages":"Article 101567"},"PeriodicalIF":6.0000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660525000800","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The LoRa radio technology has been recently expanded into the 2.4 GHz spectrum, which offers advantages such as increased bandwidth and global regulation compatibility. 2.4 GHz LoRa promises higher data rates and throughput, crucial for data-intensive industrial applications. It maintains key features such as long-range communication and low power consumption, making it suitable for various industrial Internet of Things (IoT) applications. However, 2.4 GHz gateways face challenges due to their design limitations that require only one Spreading Factor (SF) setting and channel to be assigned to each of the four available transceivers. This design limits the number of available options that the end-devices (EDs) can have and leads to resource allocation problems. To this extent, this paper presents a gateway configuration problem for 2.4 GHz LoRa gateways, mainly aiming at providing a trade-off between energy consumption and fairness among end-devices. A bi-objective optimization problem is introduced, which is solved by considering a convex combination of two objective functions. A λ [0,1] coefficient is employed to discover a Pareto optimal solution between the two objectives. Due to the high computational complexity of the integer linear programming (ILP) approach, two practical heuristics with lower computation costs are also proposed. Simulation results show that the proposed approaches exhibit better fairness and packet reception ratio (PRR) compared to the static configuration of gateways. Moreover, the results reveal that λ is capable of providing a trade-off between fairness and energy efficiency. The findings are confirmed by conducting experiments on a small-scale testbed consisting of 16 ESP32 devices.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信