Twice-weighted centroid localization algorithm based on distance geometry constraints
基于距离几何约束的二次加权质心定位算法

Taking Cayley-Menger determinant in the two-dimension real space as the distance geometry constraints, combined with the weighted centroid computing, a twice-weighted centroid localization algorithm based on distance geometry constraints (DGC-TWCL) was presented in this paper. C-M determinant was utilized to get the optimization results of distance measurements errors so that inaccurate distances among nodes were corrected to some extent. Twice-weighted centroid computation by weighted factors reflects that different anchor nodes have respective influence degrees in the process of determining the localization coordinates. The experimental results indicate that DGC-TWCL has better localization precision, algorithm scalability and robustness.