中文摘要：

为了改善传感器节点定位性能,提出了人工蜂群优化神经网络的无线传感器节点定位算法。首先测量3个锚节点与定位传感器节点之间的参数,然后采用人工蜂群优化神经网络对测距误差进行建模与预测,并根据检测结果确定权重,最后根据三边定位算法进一步提高定位精度,并采用仿真实验测试其有效性。结果表明,该文算法提高了定位的精度,加快了定位的速度,定位实时性优异。

英文摘要：

In order to obtain the ideal results of node localization for wireless sensor network, a novel node localization of wireless sensor network based on an artificial bee colony algorithm optimizing neural network is proposed. Firstly, three anchor nodes are selected and parameters between localization sensor nodes are obtained according to the measurement model; secondly, an artificial bee colony algorithm optimizing neural network is used to predict ranging errors, and location errors are corrected to determine the weight; finally, node localization results are obtained according to the three-edge location algorithm. The performance is analyzed through the specific test experiment. The results show that the proposed model improves the node localization accuracy and has better node lo-calization and real-time performance.