{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T00:49:18Z","timestamp":1777164558269,"version":"3.51.4"},"reference-count":76,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T00:00:00Z","timestamp":1679961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"project \u201cSoluzioni efficienti di Logistica Industriale per la Distribuzione Organizzata (SOLIDO)\u201d","award":["CUP C22C21000990008"],"award-info":[{"award-number":["CUP C22C21000990008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The widespread use of the internet and the exponential growth in small hardware diversity enable the development of Internet of things (IoT)-based localization systems. We review machine-learning-based approaches for IoT localization systems in this paper. Because of their high prediction accuracy, machine learning methods are now being used to solve localization problems. The paper\u2019s main goal is to provide a review of how learning algorithms are used to solve IoT localization problems, as well as to address current challenges. We examine the existing literature for published papers released between 2020 and 2022. These studies are classified according to several criteria, including their learning algorithm, chosen environment, specific covered IoT protocol, and measurement technique. We also discuss the potential applications of learning algorithms in IoT localization, as well as future trends.<\/jats:p>","DOI":"10.3390\/s23073551","type":"journal-article","created":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T01:33:00Z","timestamp":1680053580000},"page":"3551","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Machine Learning Assists IoT Localization: A Review of Current Challenges and Future Trends"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2313-6002","authenticated-orcid":false,"given":"Reza","family":"Shahbazian","sequence":"first","affiliation":[{"name":"Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, 87036 Rende, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6762-3622","authenticated-orcid":false,"given":"Giusy","family":"Macrina","sequence":"additional","affiliation":[{"name":"Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, 87036 Rende, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0970-6264","authenticated-orcid":false,"given":"Edoardo","family":"Scalzo","sequence":"additional","affiliation":[{"name":"Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, 87036 Rende, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3887-1317","authenticated-orcid":false,"given":"Francesca","family":"Guerriero","sequence":"additional","affiliation":[{"name":"Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, 87036 Rende, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,28]]},"reference":[{"key":"ref_1","first-page":"6122","article-title":"Internet of things-IOT: Definition, characteristics, architecture, enabling technologies, application & future challenges","volume":"6","author":"Patel","year":"2016","journal-title":"Int. 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