Peerapong Torteeka

Papers

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About

Peerapong Torteeka is a researcher specializing in indoor positioning systems and wireless signal processing, with a particular focus on leveraging Wi-Fi-based technologies for real-world localization challenges. His most influential contribution, "Indoor Positioning Based on Wi-Fi Fingerprint Technique Using Fuzzy K-Nearest Neighbor" (2014), has garnered 51 citations and demonstrates his innovative application of fuzzy logic to improve the accuracy of Received Signal Strength Indication (RSSI)-based positioning — a technique that addresses the well-known limitations of GPS in indoor environments. Complementing this work, his research on hybrid indoor positioning techniques further explores the fusion of multiple methodologies to enhance localization reliability, accumulating an additional 18 citations. Torteeka's work carries meaningful practical implications, spanning applications such as elderly care tracking, customer monitoring within living communities, and mobile robot navigation. By bridging signal processing theory with intelligent algorithmic approaches like fuzzy K-nearest neighbor classification, he has made a notable contribution to the growing field of location-aware computing. His research serves as a valuable reference for engineers and scientists seeking robust, infrastructure-based alternatives to satellite navigation in complex indoor settings.