Dimitrios Zorbas , Luigi Di Puglia Pugliese , Ruana Saduakhas , Francesca Guerriero
{"title":"Gateway configuration in 2.4 GHz LoRa networks","authors":"Dimitrios Zorbas , Luigi Di Puglia Pugliese , Ruana Saduakhas , 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 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 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.
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.