The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review
Open accessAbstract
The rapid growth of Internet-of-Things (IoT) in the current decade has led to the development of a multitude of new access technologies targeted at low-power, wide area networks (LP-WANs). However, this has also created another challenge pertaining to technology selection. This paper reviews the performance of LP-WAN technologies for IoT, including design choices and their implications. We consider Sigfox, LoRaWAN, WavIoT, random phase multiple access (RPMA), narrowband IoT (NB-IoT), as well as LTE-M and assess their performance in terms of signal propagation, coverage and energy conservation. The comparative analyses presented in this paper are based on available data sheets and simulation results. A sensitivity analysis is also conducted to evaluate network performance in response to variations in system design parameters. Results show that each of RPMA, NB-IoT, and LTE-M incurs at least 9 dB additional path loss relative to Sigfox and LoRaWAN. This paper further reveals that with a 10% improvement in receiver sensitivity, NB-IoT 882 MHz and LoRaWAN can increase coverage by up to 398% and 142%, respectively, without adverse effects on the energy requirements. Finally, extreme weather conditions can significantly reduce the active network life of LP-WANs. In particular, the results indicate that operating an IoT device in a temperature of -20 °C can shorten its life by about half; 53% (WavIoT, LoRaWAN, Sigfox, NB-IoT, and RPMA) and 48% in LTE-M compared with environmental temperature of 40 °C.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wireless Communications: Principles and Practice
Rappaport, T. S. (1996) · Cited by 17,370
An application-specific protocol architecture for wireless microsensor networks
Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2002.804190 · Cited by 10,565
Empirical formula for propagation loss in land mobile radio services
Hata, M. (1980) · IEEE Transactions on Vehicular Technology · doi:10.1109/t-vt.1980.23859 · Cited by 2,789
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 comparative study of LPWAN technologies for large-scale IoT deployment
Mekki, K., Bajic, E., Chaxel, F., & Meyer, F. (2019) · ICT Express · doi:10.1016/j.icte.2017.12.005 · Cited by 1,547
Understanding the Limits of LoRaWAN
Adelantado, F., Vilajosana, X., Tuset-Peiro, P., Martinez, B., Melia-Segui, J., & Watteyne, T. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600613 · Cited by 1,498
A Study of LoRa: Long Range & Low Power Networks for the Internet of Things
Augustin, A., Yi, J., Clausen, T., & Townsley, W. (2016) · Sensors · doi:10.3390/s16091466 · Cited by 1,482
A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges
Akpakwu, G. A., Silva, B. J., Hancke, G. P., & Abu-Mahfouz, A. M. (2018) · IEEE Access · doi:10.1109/access.2017.2779844 · Cited by 1,293
Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios
Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721743 · Cited by 1,278
Field strength and its variability in VHF and UHF land-mobile radio service
Okumura, Y. (1968) · Medical Entomology and Zoology · Cited by 835
Cited by
Akpan, I. J., Udoh, E. A. P., & Adebisi, B. (2022) · Journal of Small Business & Entrepreneurship · doi:10.1080/08276331.2020.1820185 · Cited by 435
Self-citationA 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
On the Optimal Calculation of the Rice Coding Parameter
Solano Donado, F. (2020) · Algorithms · doi:10.3390/a13080181 · Cited by 4
Multi-level feature driven storage management of surveillance videos
Tsai, M.-H., Venkatasubramanian, N., & Hsu, C.-H. (2021) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2021.101441 · Cited by 4
Metadata
- Authors
- Ikpehai, A., Adebisi, B., Rabie, K. M., Anoh, K., Ande, R. E., Hammoudeh, M., Gacanin, H., & Mbanaso, U. M.
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-04
- Volume
- 6
- Issue
- 2
- Pages
- 2225-2240
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2903076712
- Cited by
- 320
- References
- 38
- FWCI
- 13.17
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review. https://app.cochat.ai/papers/10.1109/jiot.2018.2883728
- The paper
- Ikpehai, A., Adebisi, B., Rabie, K. M., Anoh, K., Ande, R. E., Hammoudeh, M., Gacanin, H., & Mbanaso, U. M. (2019). Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2018.2883728
Data sources
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.