关键词: 自定位； 三角测量法； 稀疏网络； 定位盲区

Abstract: In order to solve the problem of positioning blind areas in case of sparse nodes, an improved self-localization algorithm of wireless sensors network is proposed based on the traditional AOA algorithm (triangulation method). By applying this new algorithm, the unknown node needs only one neighbor anchor node before realizing the positioning when the angle of the node’s baseline and the absolute coordinate axis is given. Simulation experiments prove that on the condition of the same amount of nodes the improved self-localization algorithm of wireless sensor network enjoys higher positioning efficiency and lower average localization error compared with the traditional AOA algorithm. Therefore, the improved algorithm is applicable in the network environment of sparse nodes.

Key words: self-localization; triangulation; sparse network; blind area of locating