University of Oulu

M. de Castro Tomé, P. H. J. Nardelli and H. Alves, "Long-Range Low-Power Wireless Networks and Sampling Strategies in Electricity Metering," in IEEE Transactions on Industrial Electronics, vol. 66, no. 2, pp. 1629-1637, Feb. 2019. doi: 10.1109/TIE.2018.2816006

Long-range low-power wireless networks and sampling strategies in electricity metering

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Author: de Castro Tomé, Mauricio1; Nardelli, Pedro H. J.1,2; Alves, Hirley1
Organizations: 1Centre for Wireless Communications, University of Oulu, Oulu 90014, Finland
2Laboratory of Control Engineering and Digital Systems, Lappeenranta University of Technology, Lappeenranta 53850, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2018-10-11


This paper studies a specific low-power wireless technology capable of reaching a long range, namely long range (LoRa). Such a technology can be used by different applications in cities involving many transmitting devices while requiring loose communication constrains. We focus on electricity grids, where LoRa end-devices are smart meters that send the average power demanded by their respective households during a given period. The successfully decoded data by the LoRa gateway are used by an aggregator to reconstruct the daily households’ profiles. We show how the interference from concurrent transmissions from both LoRa and non-LoRa devices negatively affect the communication outage probability and the link effective bit-rate. Besides, we use actual electricity consumption data to compare time-based and event-based sampling strategies, showing the advantages of the latter. We then employ this analysis to assess the gateway range that achieves an average outage probability that leads to a signal reconstruction with a given requirement. We also discuss that, although the proposed analysis focuses on electricity metering, it can be easily extended to any other smart city application with similar requirements, such as water metering or traffic monitoring.

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Series: IEEE transactions on industrial electronics
ISSN: 0278-0046
ISSN-E: 1557-9948
ISSN-L: 0278-0046
Volume: 66
Issue: 2
Pages: 1629 - 1637
DOI: 10.1109/TIE.2018.2816006
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is partially supported by Aka Project SAFE (Grant n.303532) and Strategic Research Council/Aka BCDC Energy (Grant n. 292854).
Academy of Finland Grant Number: 303532
Detailed Information: 303532 (Academy of Finland Funding decision)
292854 (Academy of Finland Funding decision)
Copyright information: © 2018 IEEE.