Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review

IKPEHAI, Augustine, ADEBISI, B., RABIE, K.M., ANOH, K., ANDE, R.E., HAMMOUDEH, M., GACANIN, H. and MBANASO, U.M. (2018). Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review. IEEE Internet of Things Journal, p. 1.

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Official URL: https://ieeexplore.ieee.org/document/8550722
Link to published version:: https://doi.org/10.1109/JIOT.2018.2883728
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The rapid growth of Internet-of-Things (IoT) in the current decade has led to the 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), narrow band 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 study 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, RPMA) and 48% in LTE-M compared with environmental temperature of 40C.

Item Type: Article
Identification Number: https://doi.org/10.1109/JIOT.2018.2883728
Page Range: p. 1
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 05 Feb 2019 15:57
Last Modified: 18 Mar 2021 05:48
URI: https://shura.shu.ac.uk/id/eprint/23929

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