Simulation Of Robot-Assisted WSN Localization Using Real-Life Data

The paper concerns the problem of robot-assistance in localization of stationary nodes in Wireless Sensor Networks (WSN). In our work, we present a simulation of localization process based on real-life data obtained during experiments. The paper describes classical localization algorithm – multilateration, however this algorithm is run not only on raw distance estimates but also on distance estimates obtained after application of specialized filtering procedures. A provided case study demonstrates the localization accuracy obtained for a robot localizing three stationary nodes during it’s movement along example path.