Muhammad Arifin
Papers
1
Total Citations
29
H-Index
1
About
Muhammad Arifin is a leading researcher in wireless sensor networks (WSNs) and indoor localization, with a focus on developing practical, low-cost positioning systems. His most-cited work, "Distance-based Indoor Localization using Empirical Path Loss Model and RSSI in Wireless Sensor Networks" (2020, 29 citations), addresses the critical challenge of GPS unreliability in indoor environments. Arifin’s major contribution lies in refining the empirical path loss model to improve distance estimation accuracy using received signal strength indicator (RSSI) data, enabling more reliable location-based services (LBS) for smart buildings, healthcare, and industrial automation. His research bridges the gap between theoretical propagation models and real-world deployment, offering scalable solutions for dense sensor networks. With growing demand for indoor navigation and IoT applications, Arifin’s work has influenced subsequent studies on energy-efficient localization and interference mitigation. He is recognized for his practical approach to WSN challenges, and his findings continue to guide researchers and engineers seeking robust alternatives to GPS in complex indoor settings.
Research Focus
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Top Papers
- 1