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Narrow Band Internet of Things

Open access
Chen, Min, Miao, Yiming, Hao, Yixue, Hwang, Kai·2017·IEEE Access

Abstract

In this paper, we review the background and state-of-the-art of the narrow-band Internet of Things (NB-IoT). We first introduce NB-IoT general background, development history, and standardization. Then, we present NB-IoT features through the review of current national and international studies on NB-IoT technology, where we focus on basic theories and key technologies, i.e., connection count analysis theory, delay analysis theory, coverage enhancement mechanism, ultra-low power consumption technology, and coupling relationship between signaling and data. Subsequently, we compare several performances of NB-IoT and other wireless and mobile communication technologies in aspects of latency, security, availability, data transmission rate, energy consumption, spectral efficiency, and coverage area. Moreover, we analyze five intelligent applications of NB-IoT, including smart cities, smart buildings, intelligent environment monitoring, intelligent user services, and smart metering. Finally, we summarize security requirements of NB-IoT, which need to be solved urgently. These discussions aim to provide a comprehensive overview of NB-IoT, which can help readers to understand clearly the scientific problems and future research directions of NB-IoT.

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Metadata

Authors
Chen, M., Miao, Y., Hao, Y., & Hwang, K.
Venue
IEEE Access
Published
2017
Volume
5
Pages
20557-20577
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2755207117
Cited by
458
References
0
FWCI
26.96
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Narrow Band Internet of Things. https://app.cochat.ai/papers/10.1109/access.2017.2751586
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Chen, M., Miao, Y., Hao, Y., & Hwang, K. (2017). Narrow Band Internet of Things. IEEE Access. https://doi.org/10.1109/access.2017.2751586

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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.