{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:40:01Z","timestamp":1767339601165,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T00:00:00Z","timestamp":1595289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the Internet of Things (IoT), the number of monitoring applications deployed is considerably increasing, whatever the field considered: smart city, smart agriculture, environment monitoring, air pollution monitoring, to name a few. The LoRaWAN (Long Range Wide Area Network)architecture with its long range communication, its robustness to interference and its reduced energy consumption is an excellent candidate to support such applications. However, if the number of end devices is high, the reliability of LoRaWAN, measured by the Packet Delivery Ratio (PDR), becomes unacceptable due to an excessive number of collisions. In this paper, we propose two different families of solutions ensuring collision-free transmissions. The first family is TDMA (Time-Division Multiple Access)-based. All clusters transmit in sequence and up to six end devices with different spreading factors belonging to the same cluster are allowed to transmit in parallel. The second family is FDMA (Frequency Divsion Multiple Access)-based. All clusters transmit in parallel, each cluster on its own frequency. Within each cluster, all end devices transmit in sequence. Their performance are compared in terms of PDR, energy consumption by end device and maximum number of end devices supported. Simulation results corroborate the theoretical results and show the high efficiency of the solutions proposed.<\/jats:p>","DOI":"10.3390\/s20144053","type":"journal-article","created":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T06:38:55Z","timestamp":1595313535000},"page":"4053","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Collision-Free Transmissions in an IoT Monitoring Application Based on LoRaWAN"],"prefix":"10.3390","volume":"20","author":[{"given":"Rahim","family":"Haiahem","sequence":"first","affiliation":[{"name":"RAMSIS Team, CRISTAL Laboratory, 2010 Campus University, 2010 Manouba, Tunisia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8786-1684","authenticated-orcid":false,"given":"Pascale","family":"Minet","sequence":"additional","affiliation":[{"name":"EVA Project, Inria\u2014Paris, 75012 Paris, France"}]},{"given":"Selma","family":"Boumerdassi","sequence":"additional","affiliation":[{"name":"CEDRIC\/CNAM, 75003 Paris, France"}]},{"given":"Leila","family":"Azouz Saidane","sequence":"additional","affiliation":[{"name":"RAMSIS Team, CRISTAL Laboratory, 2010 Campus University, 2010 Manouba, Tunisia"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/IOTM.0001.1900043","article-title":"Internet of Things and LoRaWAN-Enabled Future Smart Farming","volume":"2","author":"Citoni","year":"2019","journal-title":"IEEE Internet Things Mag."},{"doi-asserted-by":"crossref","unstructured":"Singh, R.K., Aernouts, M., De Meyer, M., Weyn, M., and Berkvens, R. 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