{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T18:14:07Z","timestamp":1786040047185,"version":"3.56.0"},"reference-count":46,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T00:00:00Z","timestamp":1701129600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Moroccan School of Engineering Sciences EMSI Casablanca"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>LoRa technology is being integrated into industrial applications as part of Industry 4.0 owing to its longer range and low power consumption. However, noise, interference, and the fading effect all have a negative impact on LoRa performance in an industrial environment, necessitating solutions to ensure reliable communication. This paper evaluates and compares LoRa\u2019s performance in terms of packet error rate (PER) with and without forward error correction (FEC) in an industrial environment. The impact of integrating an infinite impulse response (IIR) or finite impulse response (FIR) filter into the LoRa architecture is also evaluated. Simulations are carried out in MATLAB at 868 MHz with a bandwidth of 125 kHz and two spreading factors of 7 and 12. Many-to-one and one-to-many communication modes are considered, as are line of sight (LOS) and non-line of Sight (NLOS) conditions. Simulation results show that, compared to an environment with additive white Gaussian noise (AWGN), LoRa technology suffers a significant degradation of its PER performance in industrial environments. Nevertheless, the use of forward error correction (FEC) contributes positively to offsetting this decline. Depending on the configuration and architecture examined, the gain in signal-to-noise ratio (SNR) using a 4\/8 coding ratio ranges from 7 dB to 11 dB. Integrating IIR or FIR filters also boosts performance, with additional SNR gains ranging from 2 dB to 6 dB, depending on the simulation parameters.<\/jats:p>","DOI":"10.3390\/jsan12060080","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T07:41:32Z","timestamp":1701157292000},"page":"80","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Performance Evaluation of LoRa Communications in Harsh Industrial Environments"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4383-7971","authenticated-orcid":false,"given":"L\u2019houssaine","family":"Aarif","sequence":"first","affiliation":[{"name":"Multidisciplinary Laboratory of Research and Innovation, Moroccan School of Engineering Sciences, Casablanca 20250, Morocco"},{"name":"Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail University Campus, Kenitra 14000, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed","family":"Tabaa","sequence":"additional","affiliation":[{"name":"Multidisciplinary Laboratory of Research and Innovation, Moroccan School of Engineering Sciences, Casablanca 20250, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6884-083X","authenticated-orcid":false,"given":"Hanaa","family":"Hachimi","sequence":"additional","affiliation":[{"name":"Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail University Campus, Kenitra 14000, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lucas-Esta\u00f1, M., Sepulcre, M., Raptis, T., Passarella, A., and Conti, M. 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