针对传统无需测距的无线传感器网络定位算法( DV- Hop 算法) 在估算距离时因存在较大误差而导致定位精度不高的问题，文中提出了基于估距方式分类的无线传感器网络定位算法．该算法引入最优辅助估距锚点，未知节点每次在估算距离时，首先依据所需估算的距离寻找最优辅助估距锚点，再按其估距所属类型进行估距计算，以提高距离估算的精度．为进一步提高定位精度，文中算法在三边定位法中引入“非线性 － 跳数” 加权因子，通过它获得未知节点最终估计坐标的期望．仿真实验结果表明，在适当增加通信开销的条件下，文中算法的定位精度显著提高．

Since the traditional localization algorithm of wireless sensor networks,namely the DV- Hop algorithmwithout distance measurement,is of low accuracy due to the imprecise estimated distance,a new one based on theclassification of distance estimation methods is proposed.In this algorithm,the concept of optimal auxiliary anchoris introduced to improve the accuracy of distance estimation.During the estimation,unknown nodes find the opti-mal auxiliary anchor in light of the requirements of distance estimation at the beginning，and then estimate the dis-tance according to the types of the estimation methods.Moreover,in order to further improve the localization accu-racy,a“nonlinearity- hop number”weighting factor is introduced in the trilateral localization and the expectation ofestimated coordinate of unknown nodes is finally obtained.Simulated results demonstrate that the proposed localiza-tion algorithm greatly improves the accuracy of distance estimation only with an appropriate increment of communi-cation cost.