The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Study of LoRa: Long Range & Low Power Networks for the Internet of Things
Open accessAbstract
LoRa is a long-range, low-power, low-bitrate, wireless telecommunications system, promoted as an infrastructure solution for the Internet of Things: end-devices use LoRa across a single wireless hop to communicate to gateway(s), connected to the Internet and which act as transparent bridges and relay messages between these end-devices and a central network server. This paper provides an overview of LoRa and an in-depth analysis of its functional components. The physical and data link layer performance is evaluated by field tests and simulations. Based on the analysis and evaluations, some possible solutions for performance enhancements are proposed.
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Citations
Cites
On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology
Petajajarvi, J., Mikhaylov, K., Roivainen, A., Hanninen, T., & Pettissalo, M. (2015) · 2015 14th International Conference on ITS Telecommunications (ITST) · doi:10.1109/itst.2015.7377400 · Cited by 735
Cited by
Edge Machine Learning for AI-Enabled IoT Devices: A Review
Merenda, M., Porcaro, C., & Iero, D. (2020) · Sensors · doi:10.3390/s20092533 · Cited by 523
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Islam, N., Rashid, M. M., Pasandideh, F., Ray, B., Moore, S., & Kadel, R. (2021) · Sustainability · doi:10.3390/su13041821 · Cited by 269
LoRaWAN security survey: Issues, threats and possible mitigation techniques
Noura, H., Hatoum, T., Salman, O., Yaacoub, J.-P., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100303 · Cited by 137
IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges
Li, H., Bin Kaleem, M., Liu, Z., Wu, Y., Liu, W., & Huang, Z. (2023) · Green Energy and Intelligent Transportation · doi:10.1016/j.geits.2023.100128 · Cited by 95
Metadata
- Authors
- Augustin, A., Yi, J., Clausen, T., & Townsley, W.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2016-09-09
- Volume
- 16
- Issue
- 9
- Pages
- 1466
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2520480241
- Cited by
- 1,482
- References
- 1
- FWCI
- 66.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Augustin, A., Yi, J., Clausen, T., & Townsley, W. (2016). A Study of LoRa: Long Range & Low Power Networks for the Internet of Things. Sensors. https://doi.org/10.3390/s16091466
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
