通常来讲,无线传感器网络能够采集环境信息等,其所处的环境都比较复杂,很难被人们监控或接触到。目前,学术界正在积极研究无线传感器网络中的节点定位技术,具有非常重要的现实意义。在室内定位中应用基于数据库的定位思路的基础上,节点定位的算法选用加权质心与BP神经网络,进而进行仿真实验以验证两种方法。 Generally speaking, the wireless sensor network can collect environmental information and the like, and the environment in which the wireless sensor network is located is relatively complicated and difficult to be monitored or contacted by people. At present, the academic community is actively studying the node localization technology in wireless sensor networks, which has very important practical significance. On the basis of applying the database-based positioning idea in indoor location, the algorithm of node location uses weighted centroid and BP neural network, and then carries on the simulation experiment to verify the two methods.