{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:16:47Z","timestamp":1760235407425,"version":"build-2065373602"},"reference-count":47,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003626","name":"Defense Acquisition Program Administration","doi-asserted-by":"publisher","award":["UD190018ID"],"award-info":[{"award-number":["UD190018ID"]}],"id":[{"id":"10.13039\/501100003626","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, we propose a hybrid localization algorithm to boost the accuracy of range-based localization by improving the ranging accuracy under indoor non-line-of-sight (NLOS) conditions. We replaced the ranging part of the rule-based localization method with a deep regression model that uses data-driven learning with dual-band received signal strength (RSS). The ranging error caused by the NLOS conditions was effectively reduced by using the deep regression method. As a consequence, the positioning error could be reduced under NLOS conditions. The performance of the proposed method was verified through a ray-tracing-based simulation for indoor spaces. The proposed scheme showed a reduction in the positioning error of at least 22.3% in terms of the median root mean square error compared to the existing methods. In addition, we verified that the proposed method was robust to changes in the indoor structure.<\/jats:p>","DOI":"10.3390\/s21165583","type":"journal-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T09:58:06Z","timestamp":1629367086000},"page":"5583","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Hybrid Approach for Indoor Localization Using Received Signal Strength of Dual-Band Wi-Fi"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8999-0861","authenticated-orcid":false,"given":"Byeong-ho","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Institute of New Media & Communications, Seoul National University (SNU), Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4927-8882","authenticated-orcid":false,"given":"Kyoung-Min","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Institute of New Media & Communications, Seoul National University (SNU), Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2183-5085","authenticated-orcid":false,"given":"Yong-Hwa","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Data Science, Korea National University of Transportation, Uiwang-si 16106, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7896-5625","authenticated-orcid":false,"given":"Seong-Cheol","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Institute of New Media & Communications, Seoul National University (SNU), Seoul 08826, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.comnet.2018.07.017","article-title":"Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues","volume":"144","year":"2018","journal-title":"Comput. 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