Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways
LoRaWAN has imposed itself as a promising and suitable technology for massive machine-type communications. With the acceleration of deployment, improving the energy efficiency of LoRaWAN networks has become paramount, especially with the limitations of throughput and battery resources. However, LoRa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/11/5315 |
| _version_ | 1797596674083782656 |
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| author | Ali Loubany Samer Lahoud Abed Ellatif Samhat Melhem El Helou |
| author_facet | Ali Loubany Samer Lahoud Abed Ellatif Samhat Melhem El Helou |
| author_sort | Ali Loubany |
| collection | DOAJ |
| description | LoRaWAN has imposed itself as a promising and suitable technology for massive machine-type communications. With the acceleration of deployment, improving the energy efficiency of LoRaWAN networks has become paramount, especially with the limitations of throughput and battery resources. However, LoRaWAN suffers from the Aloha access scheme, which leads to a high probability of collision at large scales, especially in dense environments such as cities. In this paper, we propose EE-LoRa, an algorithm to improve the energy efficiency of LoRaWAN networks with multiple gateways via spreading factor selection and power control. We proceed in two steps, where we first optimize the energy efficiency of the network, defined as the ratio between the throughput and consumed energy. Solving this problem involves determining the optimal node distribution among different spreading factors. Then, in the second step, power control is applied to minimize the transmission power at nodes without jeopardizing the reliability of communications. The simulation results show that our proposed algorithm greatly improves the energy efficiency of LoRaWAN networks compared to legacy LoRaWAN and relevant state-of-the-art algorithms. |
| first_indexed | 2024-03-11T02:56:24Z |
| format | Article |
| id | doaj.art-2276a3962aa74aa78639f6802a3c3f49 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T02:56:24Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2276a3962aa74aa78639f6802a3c3f492023-11-18T08:35:27ZengMDPI AGSensors1424-82202023-06-012311531510.3390/s23115315Improving Energy Efficiency in LoRaWAN Networks with Multiple GatewaysAli Loubany0Samer Lahoud1Abed Ellatif Samhat2Melhem El Helou3Ecole Supérieure d’Ingénieurs de Beyrouth (ESIB), Faculty of Engineering, Saint Joseph University of Beirut, Beirut 1107 2050, LebanonEcole Supérieure d’Ingénieurs de Beyrouth (ESIB), Faculty of Engineering, Saint Joseph University of Beirut, Beirut 1107 2050, LebanonCentre de Recherche Scientifique en Ingénierie (CRSI), Faculty of Engineering, Lebanese University, Beirut 1533, LebanonEcole Supérieure d’Ingénieurs de Beyrouth (ESIB), Faculty of Engineering, Saint Joseph University of Beirut, Beirut 1107 2050, LebanonLoRaWAN has imposed itself as a promising and suitable technology for massive machine-type communications. With the acceleration of deployment, improving the energy efficiency of LoRaWAN networks has become paramount, especially with the limitations of throughput and battery resources. However, LoRaWAN suffers from the Aloha access scheme, which leads to a high probability of collision at large scales, especially in dense environments such as cities. In this paper, we propose EE-LoRa, an algorithm to improve the energy efficiency of LoRaWAN networks with multiple gateways via spreading factor selection and power control. We proceed in two steps, where we first optimize the energy efficiency of the network, defined as the ratio between the throughput and consumed energy. Solving this problem involves determining the optimal node distribution among different spreading factors. Then, in the second step, power control is applied to minimize the transmission power at nodes without jeopardizing the reliability of communications. The simulation results show that our proposed algorithm greatly improves the energy efficiency of LoRaWAN networks compared to legacy LoRaWAN and relevant state-of-the-art algorithms.https://www.mdpi.com/1424-8220/23/11/5315Internet of ThingsLPWANLoRaWANenergy efficiencyspreading factorpower control |
| spellingShingle | Ali Loubany Samer Lahoud Abed Ellatif Samhat Melhem El Helou Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways Sensors Internet of Things LPWAN LoRaWAN energy efficiency spreading factor power control |
| title | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
| title_full | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
| title_fullStr | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
| title_full_unstemmed | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
| title_short | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
| title_sort | improving energy efficiency in lorawan networks with multiple gateways |
| topic | Internet of Things LPWAN LoRaWAN energy efficiency spreading factor power control |
| url | https://www.mdpi.com/1424-8220/23/11/5315 |
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