Experimental Characterisation of Long-Range Wireless Technologies in Indoor Environments

Various competing wireless technologies claim superior long-range performance at low power budgets. However, it is difficult for system designers to select the appropriate technologies for their applications. Consequently, to guide such selections, this paper presents characteristic measurement data for three noted technologies: LoRaWAN, mioty, and Wi-Fi HaLow. The introduced measurement setups enable evaluation of the technologies with respect to energy consumption, sensitivity, and network performance in indoor environments. Based on the quantitative results, we discuss the individual strengths of the evaluated technologies. Supportive plots provide system designers with essential information to select the most appropriate wireless technology for their applications and avoid poor decision-making.

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Publication Details

Journal
IoT
Published
2026-10-27
DOI
https://doi.org/10.3390/iot7040092
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00

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article

Experimental Characterisation of Long-Range Wireless Technologies in Indoor Environments

Etienne Gubler, Manuel Böbel, Simon Künzli, Andreas Rüst et al.
1 links
IoT
IoT Networks and Protocols
article

Experimental Characterisation of Long-Range Wireless Technologies in Indoor Environments

Etienne Gubler, Manuel Böbel, Simon Künzli, Andreas Rüst, Vixay Phimmasane, Flavio Felder
article en

Abstract

Various competing wireless technologies claim superior long-range performance at low power budgets. However, it is difficult for system designers to select the appropriate technologies for their applications. Consequently, to guide such selections, this paper presents characteristic measurement data for three noted technologies: LoRaWAN, mioty, and Wi-Fi HaLow. The introduced measurement setups enable evaluation of the technologies with respect to energy consumption, sensitivity, and network performance in indoor environments. Based on the quantitative results, we discuss the individual strengths of the evaluated technologies. Supportive plots provide system designers with essential information to select the most appropriate wireless technology for their applications and avoid poor decision-making.

IoTVol. 7(4)
Temple University (US), ZHAW Zurich University of Applied Sciences (CH)
Innosuisse - Schweizerische Agentur für Innovationsförderung
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
IoT Networks and Protocols
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Experimental Characterisation of Long-Range Wireless Technologies in Indoor Environments — Etienne Gubler, Manuel Böbel, et al. · IoT (2026) | TGRS Research Map | TGRS