The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions
Open accessAbstract
Low-power wide-area network (LPWAN) technologies play a pivotal role in IoT applications, owing to their capability to meet the key IoT requirements (e.g., long range, low cost, small data volumes, massive device number, and low energy consumption). Between all obtainable LPWAN technologies, long-range wide-area network (LoRaWAN) technology has attracted much interest from both industry and academia due to networking autonomous architecture and an open standard specification. This paper presents a comparative review of five selected driving LPWAN technologies, including NB-IoT, SigFox, Telensa, Ingenu (RPMA), and LoRa/LoRaWAN. The comparison shows that LoRa/LoRaWAN and SigFox surpass other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. In contrast, NB-IoT technology excels in latency and quality of service. Furthermore, we present a technical overview of LoRa/LoRaWAN technology by considering its main features, opportunities, and open issues. We also compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network performance that has been developed recently. Then, we introduce a comparative evaluation of LoRa simulators to highlight their features. Furthermore, we classify the recent efforts to improve LoRa/LoRaWAN performance in terms of energy consumption, pure data extraction rate, network scalability, network coverage, quality of service, and security. Finally, although we focus more on LoRa/LoRaWAN issues and solutions, we introduce guidance and directions for future research on LPWAN technologies.
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Cites
Industrial Internet of Things: Challenges, Opportunities, and Directions
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Understanding the Limits of LoRaWAN
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A Study of LoRa: Long Range & Low Power Networks for the Internet of Things
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Do LoRa Low-Power Wide-Area Networks Scale?
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A Primer on 3GPP Narrowband Internet of Things
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On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology
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Low Power Wide Area Network Analysis: Can LoRa Scale?
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A Survey on LoRa Networking: Research Problems, Current Solutions, and Open Issues
Shanmuga Sundaram, J. P., Du, W., & Zhao, Z. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2949598 · Cited by 517
Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN
Bouguera, T., Diouris, J.-F., Chaillout, J.-J., Jaouadi, R., & Andrieux, G. (2018) · Sensors · doi:10.3390/s18072104 · Cited by 386
Cited by
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
Jouhari, M., Saeed, N., Alouini, M.-S., & Amhoud, E. M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3274934 · Cited by 365
Metadata
- Authors
- Almuhaya, M. A. M., Jabbar, W. A., Sulaiman, N., & Abdulmalek, S.
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2022-01-05
- Volume
- 11
- Issue
- 1
- Pages
- 164
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W4206425359
- Cited by
- 267
- References
- 71
- FWCI
- 15.73
- Type
- journal article
- Language
- en
- Open access
- gold
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- Almuhaya, M. A. M., Jabbar, W. A., Sulaiman, N., & Abdulmalek, S. (2022). A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions. Electronics. https://doi.org/10.3390/electronics11010164
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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