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Author/Affiliation: Fanchen Bao
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Open AccessArticle
14 Pages, 7,389 KB Download PDF

Mobility Intelligence: Machine Learning Methods for Received Signal Strength Indicator-based Passive Outdoor Localization

Advances in Science, Technology and Engineering Systems Journal, Volume 7, Issue 6, Page # 269–282, 2022; DOI: 10.25046/aj070631
Abstract:

Knowledge of pedestrian and vehicle movement patterns can provide valuable insights for city planning. Such knowledge can be acquired via passive outdoor localization of WiFi-enabled devices using measurements of Received Signal Strength Indicator (RSSI) from WiFi probe requests. In this paper, which is an extension of the work initially presented in WiMob 2021, we continue…

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(This article belongs to the SP13 (Special Issue on Innovation in Computing, Engineering Science & Technology 2022) & Section Artificial Intelligence in Computer Science (CAI))

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