关键词: 无线传感网, 定位, 传感器节点, 基于密度的加噪空间聚类应用算法（DBSCAN）, 非视距传播

Abstract: Under the NLOS（Non-Line-Of-Sight） propagation environments, in order to achieve better location performance, a localization method based on DBSCAN in wireless sensor networks is proposed in this paper. The TOA（Time Of Arrival） from the unknown node is measured by many sensor nodes, then the weighted least squares estimation algorithm is used after data packet processing. According to multiple measurements and estimations, the DBSCAN（Density-Based Spatial Clustering of Applications with Noise） is used to tick off the bad location results to mitigate the location error. The experimental simulations have done. Simulation results show that the proposed location method can restrain the location error effectively and get the precise position of the unknown node, can improve the location accuracy than traditional methods.

Key words: wireless sensor networks, location, sensor node, Density-Based Spatial Clustering of Applications with Noise（DBSCAN）, Non-Line-Of-Sight（NLOS）