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arxiv: 2605.23483 · v1 · pith:TLTYL7GAnew · submitted 2026-05-22 · 💻 cs.NI

Experimental Evaluation of LPWAN Technologies: mioty, LoRaWAN, Sigfox, NB-IoT, and LTE-M in Deep Indoor Environments

Christof R\"ohrig , Benz Cramer This is my paper

Pith reviewed 2026-05-25 02:58 UTC · model grok-4.3

classification 💻 cs.NI
keywords LPWANbuilding penetrationdeep indoorsmart meteringexperimental evaluationmiotyLoRaWANSigfox
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The pith

Experimental measurements reveal differences in building penetration among five LPWAN technologies for deep indoor smart metering.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper performs an experimental comparison of mioty, LoRaWAN, Sigfox, NB-IoT, and LTE-M to determine which technologies best penetrate buildings in underground locations for energy meters. Measurements use inexpensive off-the-shelf equipment in real-life scenarios at a university. The findings are integrated into the institution's metering system to support smart building applications. A reader would care because choosing the right technology affects the reliability of wireless smart metering in challenging indoor environments.

Core claim

Through experimental evaluation in real-life scenarios, the paper shows that the building penetration performance of mioty, LoRaWAN, Sigfox, NB-IoT, and LTE-M can be assessed using affordable equipment, providing data that is directly applied to the university's metering infrastructure.

What carries the argument

Experimental comparison of radio technologies for building penetration using off-the-shelf devices in deep indoor environments.

If this is right

  • The results allow selection of appropriate LPWAN technology based on penetration needs for smart metering.
  • Integration demonstrates practical use in operational systems.
  • Provides benchmark for performance in underground spaces.
  • Supports deployment decisions for smart city and smart building projects.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This suggests that technology choice for LPWAN in metering should prioritize experimental validation over theoretical models.
  • Future work could extend these tests to more building types or locations to generalize findings.
  • The approach could be applied to other IoT applications requiring deep indoor connectivity.

Load-bearing premise

That the performance measured with inexpensive off-the-shelf equipment in the tested real-life scenarios is representative of the technologies' building penetration capabilities for deep indoor smart metering applications.

What would settle it

A repeat of the experiments using professional-grade equipment or in a wider variety of building structures that yields substantially different relative performance results among the technologies.

Figures

Figures reproduced from arXiv: 2605.23483 by Benz Cramer, Christof R\"ohrig.

Figure 2
Figure 2. Figure 2: Boxplot of measured RSSI values for mioty [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
read the original abstract

Low Power Wide Area Networks (LPWAN) are often used in applications such as Smart City, Smart Buildings and Smart Metering. Energy meters are often located in underground spaces that are difficult to reach with wireless technology. This paper presents an experimental study comparing different LPWAN technologies in terms of building penetration. The technologies mioty, Low Power Long Range Wide Area Network (LoRaWAN), Sigfox, Narrow Band Internet of Things (NB-IoT), and Long Term Evolution for Machines (LTE-M) are evaluated experimentally. The aim of the research is to investigate the performance of building penetration of different radio technologies in real-life scenarios. The measurements are performed with inexpensive off-the-shelf equipment. The results of the study are integrated in the metering system of the Dortmund University of Applied Sciences and Arts.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The paper presents an experimental comparison of building penetration performance for five LPWAN technologies (mioty, LoRaWAN, Sigfox, NB-IoT, and LTE-M) in deep indoor environments relevant to smart metering. Measurements use inexpensive off-the-shelf hardware in real-life scenarios, with results integrated into the metering system at Dortmund University of Applied Sciences and Arts.

Significance. If the reported outcomes hold, the work supplies practical, hardware-grounded data on technology selection for challenging indoor propagation conditions in smart-city and metering deployments. The emphasis on off-the-shelf equipment and direct integration into an operational system adds immediate applicability for practitioners.

minor comments (2)
  1. [Abstract] Abstract: the summary supplies no quantitative outcomes, test locations, or key metrics, reducing its utility as a standalone overview of the comparison results.
  2. The manuscript would benefit from an explicit statement of the number of measurement repetitions, statistical error analysis, and any environmental variables recorded at each test point to strengthen reproducibility.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their review and for recommending minor revision. The report provides a positive assessment of the work's practical relevance but lists no specific major comments requiring response.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper consists entirely of an experimental evaluation using direct measurements with off-the-shelf hardware in real indoor scenarios. No equations, derivations, fitted models, predictions, or self-citations appear in the load-bearing claims; results are presented as raw experimental outcomes integrated into a metering system. The derivation chain is empty by nature of the work, making it self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is an empirical experimental study relying on standard measurement practices in wireless communications; no new parameters, axioms, or entities are introduced.

pith-pipeline@v0.9.0 · 5677 in / 1141 out tokens · 25355 ms · 2026-05-25T02:58:47.304586+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

18 extracted references · 18 canonical work pages

  1. [1]

    LPWAN based IoT architecture for distributed energy monitoring in deep indoor environments,

    C. Röhrig and B. Cramer, “LPWAN based IoT architecture for distributed energy monitoring in deep indoor environments,” in Proceedings of the 6th International Conference on Building Energy and Environment (COBEE 2025) , Eindhoven, Netherlands, Jul. 2025, pp. 1404–1411

    work page 2025

  2. [2]

    Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range from 300 MHz to 450 GHz,

    ITU-R, “Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range from 300 MHz to 450 GHz,” P Series Radiowave propagation, Recommendation ITU-R , no. 1238–13, 2025

    work page 2025

  3. [3]

    Study on channel model for frequencies from 0.5 to 100 GHz,

    3GPP, “Study on channel model for frequencies from 0.5 to 100 GHz,” 3GPP TR 38.901 version 19.1.0 , no. (Release 19), 2025

    work page 2025

  4. [4]

    Investigation of deep indoor NB-IoT propagation attenuation,

    K. M. Malarski, J. Thrane, M. G. Bech, K. Macheta, H. L. Christiansen, M. N. Petersen, and S. Ruepp, “Investigation of deep indoor NB-IoT propagation attenuation,” in 2019 IEEE 90th V ehicular Technology Conference (VTC2019- Fall), 2019, pp. 1–5

    work page 2019

  5. [5]

    LPW AN Technologies for IoT: Real-World Deployment Performance and Practical Comparison,

    D. Orlovs, A. Rusins, V . Skrasti n, š, and J. Judvaitis, “LPW AN Technologies for IoT: Real-World Deployment Performance and Practical Comparison,” IoT, vol. 6, no. 4, 2025

    work page 2025

  6. [6]

    LoRa and Mioty - A Comparative Study,

    J. Robert and T. Lauterbach, “LoRa and Mioty - A Comparative Study,” in Global Internet of Things and Edge Computing Summit , M. Presser, A. Skarmeta, and S. Krco, Eds. Springer Nature Switzerland, 2026, pp. 18–38

    work page 2026

  7. [7]

    LoRaWAN and MIOTY: A Study on Packet Reception and Energy Consumption in the Industrial Internet of Things,

    O. Zerai, M. Striegel, and T. Krone, “LoRaWAN and MIOTY: A Study on Packet Reception and Energy Consumption in the Industrial Internet of Things,” ifm electronic GmbH, Tech. Rep., Jun. 2023

    work page 2023

  8. [8]

    Mioty vs LoRaWAN – On Site Field Test,

    A. Joubert, “Mioty vs LoRaWAN – On Site Field Test,” https://hub.imt-atlantique.fr/lpwan25/presentations/ 4/session1/4.pdf, LPW AN Days 2025

    work page 2025

  9. [9]

    LPW AN protocol selection for IoT-based energy measurement systems: A compar- ative analysis of mioty and NB-IoT technologies,

    D. Schreiber and C. Fosalau, “LPW AN protocol selection for IoT-based energy measurement systems: A compar- ative analysis of mioty and NB-IoT technologies,” in 2025 International Conference on Electromechanical and Energy Systems (SIELMEN) , 2025, pp. 046–051

    work page 2025

  10. [10]

    Test and Measurement of LPW AN and Cellular IoT Networks in a Unified Testbed,

    J. S. E, A. Sikora, M. Schappacher, and Z. Amjad, “Test and Measurement of LPW AN and Cellular IoT Networks in a Unified Testbed,” in 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) , vol. 1, Jul. 2019, pp. 1521–1527

    work page 2019

  11. [11]

    Using digitalisation for a real-word implementation of an early warning system for water leakages,

    M. Oberascher, C. Maussner, P. Hinteregger, J. Knapp, A. Halm, M. Kaiser, W. Gruber, D. Truppe, E. Eggeling, and R. Sitzenfrei, “Using digitalisation for a real-word implementation of an early warning system for water leakages,” Water Practice and Technology , vol. 20, no. 1, pp. 49–64, 2024

    work page 2024

  12. [12]

    The factors for choosing among NB-IoT, LoRaWAN, and Sigfox radio communication technologies for IoT net- working,

    E. Kadusic, C. Ruland, N. Hadzajlic, and N. Zivic, “The factors for choosing among NB-IoT, LoRaWAN, and Sigfox radio communication technologies for IoT net- working,” in 2022 International Conference on Connected Systems & Intelligence (CSI) , 2022, pp. 1–5

    work page 2022

  13. [13]

    LPW AN comparison – low energy consumption with NB-IoT, LoRaW AN and Sigfox,

    H. Naumann and W. Oelers, “LPW AN comparison – low energy consumption with NB-IoT, LoRaW AN and Sigfox,” 2021

    work page 2021

  14. [14]

    LPWAN Technologies Range Evaluation: LoRaWAN, NB-IoT, Sigfox, and LTE-M in Urban and Free-field Settings,

    S. Trendov, E. Sariiev, K. B. S. Mukhtar, D. Kachan, and E. Siemens, “LPWAN Technologies Range Evaluation: LoRaWAN, NB-IoT, Sigfox, and LTE-M in Urban and Free-field Settings,” in 2025 7th Global Power, Energy and Communication Conference (GPECOM) , 2025, pp. 1089–1094

    work page 2025

  15. [15]

    Accuracy Assessment and Cross-Validation of LPW AN Propagation Models in Urban Scenarios,

    M. Stusek, D. Moltchanov, P. Masek, K. Mikhaylov, O. Zeman, M. Roubicek, Y . Koucheryavy, and J. Hosek, “Accuracy Assessment and Cross-Validation of LPW AN Propagation Models in Urban Scenarios,” IEEE Access , vol. 8, pp. 154 625–154 636, 2020

    work page 2020

  16. [16]

    Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks,

    P. Roosipuu, I. Annus, A. Kuusik, N. Kändler, and M. M. Alam, “Monitoring and control of smart urban drainage systems using NB-IoT cellular sensor networks,” Water Science and Technology , vol. 88, no. 2, pp. 339–354, 07 2023

    work page 2023

  17. [17]

    Experimental evaluation of empirical NB- IoT propagation modelling in a deep-indoor scenario,

    J. Thrane, K. M. Malarski, H. L. Christiansen, and S. Ruepp, “Experimental evaluation of empirical NB- IoT propagation modelling in a deep-indoor scenario,” in GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, pp. 1–6

    work page 2020

  18. [18]

    System design for distributed energy management using multiple LPW AN technologies,

    C. Röhrig, D. Heß, and B. H. D. Trinh, “System design for distributed energy management using multiple LPW AN technologies,” in IECON 2025 - 51th Annual Conference of the IEEE Industrial Electronics Society , Madrid, Oct. 2025, pp. 1–7. 6

    work page 2025