Dwi Joko Suroso
Papers
2
Total Citations
32
H-Index
2
About
Dwi Joko Suroso is a researcher specializing in wireless sensor networks (WSNs), indoor localization, and educational robotics. His most cited work, "Distance-based Indoor Localization using Empirical Path Loss Model and RSSI in Wireless Sensor Networks" (2020), with 29 citations, addresses the growing demand for location-based services (LBS) in indoor environments where GPS is unreliable. By developing an empirical path loss model using received signal strength indicator (RSSI) data, Suroso provides a practical, cost-effective solution for accurate indoor positioning—a critical contribution for applications in smart buildings, healthcare, and logistics. Additionally, his work "A Simulation-Based Study of Maze-Solving-Robot Navigation for Educational Purposes" (2021) demonstrates his commitment to making robotics accessible to students. Using open-source Python code, this study simplifies navigation and control algorithms, offering an engaging platform for early-stage learners to grasp fundamental robotics principles. Together, Suroso’s research bridges theoretical advancements in WSN-based localization with hands-on educational tools, fostering both innovation in indoor positioning systems and the next generation of engineers.
Research Focus
Key Achievements
Top Papers
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