基于SVM的WSN运动目标位置跟踪预测方法研究

针对无线传感器网络中运动目标位置跟踪预测方法的研究,提出了一种基于支持向量回归机(SVM)的目标位置预测方法。利用节点位置信息和网络连通信息作为训练样本,建立支持向量回归技术到节点位置的映射函数,从而完成运动目标已知时刻位置估计。最后,利用支持向量回归预测模型对运动目标节点进行位置预测。仿真结果表明,该方法有效地提高了目标节点位置预测准确率。

Moving target localization track method for witless sensor networks based on SVM

To research the location track prediction method for moving target in wireless sensor network, a target location prediction method based on support vector regression machine is proposed in the paper. Using node location information and network connectivity information as training samples, it establishes a support vector regression techniques to the mapping function of the location of the node, thus completing the moving target known time location estimation. Finally, it predicts the location of moving target node by using support vector regression prediction model. Simulation results show that this method effectively improves the target node position estimation accuracy.