Accurate positioning of nodes distributed in wireless sensor networks is very important for ensuring the reliability of data transmission and guaranteeing the completeness of collected data by determining the phase and monitoring range of sensor networks. However, guaranteeing the accuracy of positioning in sensor networks needs a large consumption of node resource as well as an increasing cost of installation.
Pak Sin Il, a section head at the Faculty of Communication, proposed a new algorithm for positioning the whole network by iterating the process of estimating the coordinates and path loss factors of the connected unknown nodes from the anchor nodes whose positions are known, based on Received Signal Strength Indication (RSSI) model.
In order to increase the accuracy of position decision and path loss factor estimation, he calculated the power level of white noise and introduced weighting coefficient that is proportional to the information quantities.
The experimental results indicated that the proposed algorithm can guarantee much higher accuracy than other modern positioning methods.
You can find the details in his paper “A Method for Improving Accuracy of Positioning Based on RSS Model in 3D Wireless Sensor Networks” in “Proceedings of KUTIC-2025”.