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A comparative study of LPWAN technologies for large-scale IoT deployment
Open accessAbstract
By 2020, more than 50 billion devices will be connected through radio communications. In conjunction with the rapid growth of the Internet of Things (IoT) market, low power wide area networks (LPWAN) have become a popular low-rate long-range radio communication technology. Sigfox, LoRa, and NB-IoT are the three leading LPWAN technologies that compete for large-scale IoT deployment. This paper provides a comprehensive and comparative study of these technologies, which serve as efficient solutions to connect smart, autonomous, and heterogeneous devices. We show that Sigfox and LoRa are advantageous in terms of battery lifetime, capacity, and cost. Meanwhile, NB-IoT offers benefits in terms of latency and quality of service. In addition, we analyze the IoT success factors of these LPWAN technologies, and we consider application scenarios and explain which technology is the best fit for each of these scenarios.
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Cites
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 LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020
Research works printed but not linked: 11
- R. Ratasuk, N. Mangalvedhe, A. Ghosh, Overview of LTE enhancements for cellular IoT, in: Proc. of PIMRC, Hong Kong, China, 2015, pp. 2293–2297. · doi:10.1109/pimrc.2015.7343680
- Centenaro, 2016, Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios, IEEE J. Wirel. Comm., 23, 60, 10.1109/MWC.2016.7721743 · DOI · Paper page
- D. Patel, M. Won, Experimental study on low power wide area networks for mobile internet of things, in: Proc. of VTC, Sydney, Australia, 2017, pp. 1–5. · DOI
- A.M. Baharudin, W. Yan, Long-range wireless sensor networks for geo-location tracking: Design and evaluation, in: Proc. of IES, Denpasar, Indonesia, 2016, pp. 76–80. · doi:10.1109/elecsym.2016.7860979
- W. Guibene, J. Nowack, N. Chalikias, M. Kelly, Evaluation of LPWAN technologies for smart cities: River monitoring use-case, in: Proc. of WCNCW, San Francisco, CA, USA, 2017, pp. 17–22. · doi:10.1109/wcncw.2017.7919089
- O. Vondrous, Z. Kocur, T. Hegr, O. Slavicek, Performance evaluation of IoT mesh networking technology in ISM frequency band, in: Proc. of ME, Prague, Czech Republic, 2016, pp. 1–8. · doi:10.1109/igbsg.2016.7539412
- B. Reynders, W. Meert, S. Pollin, Range and coexistence analysis of long range unlicensed communication, in: Proc. of ICT, Thessaloniki, Greece, 2016, pp. 51–56. · DOI · Paper page
- K. Mikhaylov, T. Haenninen, Analysis of capacity and scalability of the LoRa low power wide area network technology, in: Proc. of EWC, Oulu, Finland, 2016, pp. 119–124.
- Wang, 2016, A primer on 3GPP narrowband internet of things, IEEE Commun. Mag., 55, 117, 10.1109/MCOM.2017.1600510CM · DOI · Paper page
- A. Adhikary, X. Lin, Y.-P.E. Wang, Performance evaluation of NB-IoT coverage, in: Proc. of VTC-Fall, Montreal, QC, Canada, 2016, pp. 65–69.
- Oh, 2017, An efficient small data transmission scheme in the 3GPP NB-IoT system, IEEE Commun. Lett., 21, 660, 10.1109/LCOMM.2016.2632128 · doi:10.1109/lcomm.2016.2632128
Cited by
Blockchain for internet of things: a survey
Dai, H.-N., Zheng, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2920987 · Cited by 1,246
IoT in smart cities: A survey of technologies, practices and challenges
Syed, A. S., Sierra-Sosa, D., Kumar, A., & Elmaghraby, A. (2021) · Smart Cities · doi:10.3390/smartcities4020024 · Cited by 527
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
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., & Torre Neto, A. (2019) · Sensors · doi:10.3390/s19020276 · Cited by 523
Challenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review
Jamshed, M. A., Ali, K., Abbasi, Q. H., Imran, M. A., & Ur-Rehman, M. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3148128 · Cited by 495
Metadata
- Authors
- Mekki, K., Bajic, E., Chaxel, F., & Meyer, F.
- Venue
- ICT Express
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 5
- Issue
- 1
- Pages
- 1-7
- ISSN
- 2405-9595 (ISSN-L)
- OpenAlex
- W2781583119
- Cited by
- 1,547
- References
- 2
- FWCI
- 68.30
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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