Quadrant-Based Weighted Centroid Algorithm for Localization in Underground Mines

Abstract

This paper proposes a novel quadrant-based solution on weighted centroid algorithm that uses received signal strength indicator for range calculation and distance improvement by incorporating alternating path loss factor according to the mine environment. It also makes use of four beacon nodes instead of traditional three with weights applied to reflect the impact of each node for the centroid position. The weight factor applied is the inverse of the distance estimated. Simulation results show higher localization accuracy and precision as compared to traditional weighted centroid algorithms.

Publication
2018 International Conference on Wireless Algorithms, Systems, and Applications (CCF-C)