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Improved Indoor Localization with Machine Learning Techniques for IoT applications
Feb. 20, 2024, 5:41 a.m. | M. W. P. Maduranga
cs.LG updates on arXiv.org arxiv.org
Abstract: The rise of the Internet of Things (IoT) and mobile internet applications has spurred interest in location-based services (LBS) for commercial, military, and social applications. While the global positioning system (GPS) dominates outdoor localization, its efficacy wanes indoors due to signal challenges. Indoor localization systems leverage wireless technologies like Wi-Fi, ZigBee, Bluetooth, UWB, selecting based on context. Received signal strength indicator (RSSI) technology, known for its accuracy and simplicity, is widely adopted. This study employs …
abstract applications arxiv challenges commercial cs.lg cs.ni eess.sp global gps internet internet of things iot localization location machine machine learning machine learning techniques military mobile services signal social systems type
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