DV-Hop算法是一种经典的节点定位算法,具有成本低、易于实现等优点,但是存在定位精度低,误差大等不足,为此本文提出一种改进DV-Hop的无线传感器节点定位算法。首先利用极大似然估计法得到未知节点的初始位置信息,然后利用改进粒子群算法对估计位置进行修正,实验结果表明,改进DV-Hop算法可以有效的提高定位精度。 DV-Hop algorithm is a classical node localization algorithm, which has the advantages of low cost and easy to implement, but it has some disadvantages such as low localization accuracy and large error. Therefore, this paper proposes an improved DV-Hop wireless sensor node localization algorithm. First, the initial location information of unknown nodes is obtained by using maximum likelihood estimation. Then, the improved PSO algorithm is used to correct the estimated location. The experimental results show that the improved DV-Hop algorithm can effectively improve the positioning accuracy.