质心

The proposed algorithm improves localized nodes ratio by multihop centroid calculating，and improves localization accuracy by decentralizing process and signal strength-weighting process.

该算法对单跳质心算法进行多跳扩展改善定位比率，并加入场强加权过程和去中心化过程定位精度。

Finally experiments indicate that squared cancroid method is better, which is simple and easy implemented and improves the locating precision and the Noise resisting ability.

通过实验表，平方加权质心法是一理想的细分定位方法，不仅简单、易于实现，而且具有更的定位精度及抗噪声的能力。