The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Do LoRa Low-Power Wide-Area Networks Scale?
Open accessAbstract
New Internet of Things (IoT) technologies such as Long Range (LoRa) are emerging which enable power efficient wireless communication over very long distances. Devices typically communicate directly to a sink node which removes the need of constructing and maintaining a complex multi-hop network. Given the fact that a wide area is covered and that all devices communicate directly to a few sink nodes a large number of nodes have to share the communication medium. LoRa provides for this reason a range of communication options (centre frequency, spreading factor, bandwidth, coding rates) from which a transmitter can choose. Many combination settings are orthogonal and provide simultaneous collision free communications. Nevertheless, there is a limit regarding the number of transmitters a LoRa system can support. In this paper we investigate the capacity limits of LoRa networks. Using experiments we develop models describing LoRa communication behaviour. We use these models to parameterise a LoRa simulation to study scalability. Our experiments show that a typical smart city deployment can support 120 nodes per 3.8 ha, which is not sufficient for future IoT deployments. LoRa networks can scale quite well, however, if they use dynamic communication parameter selection and/or multiple sinks.
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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
Low power wide area networks: an overview
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2652320 · Cited by 2,047
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
Edge-computing-driven Internet of Things: A Survey
Kong, L., Tan, J., Huang, J., Chen, G., Wang, S., Jin, X., Zeng, P., Khan, M., & Das, S. K. (2023) · ACM Computing Surveys · doi:10.1145/3555308 · Cited by 396
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
A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions
Almuhaya, M. A. M., Jabbar, W. A., Sulaiman, N., & Abdulmalek, S. (2022) · Electronics · doi:10.3390/electronics11010164 · Cited by 267
Metadata
- Authors
- Bor, M. C., Roedig, U., Voigt, T., & Alonso, J. M.
- Venue
- Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
- Publisher
- ACM
- Published
- 2016-11-13
- Pages
- 59-67
- OpenAlex
- W2525332113
- Cited by
- 805
- References
- 1
- FWCI
- 107.41
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Bor, M. C., Roedig, U., Voigt, T., & Alonso, J. M. (2016). Do LoRa Low-Power Wide-Area Networks Scale? Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. https://doi.org/10.1145/2988287.2989163
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