一种基于Monte Carlo的移动传感网络精确定位算法

An Accurate Localization Algorithm Based on MCL for Mobile Sensor Networks

无线传感器网络作为一种全新的信息获取和处理技术,可以在广泛的应用领域内实现复杂的大规模监测和追踪任务.在传感器网络中,确定事件发生的位置或获取消息的节点位置是传感器最基本的功能和支撑技术.本文针对特定的应用场景,设计了适用于锚节点固定,节点自由移动的移动传感器网络的基于Monte Carlo方法的精确定位算法,并描述了其节点运动预测和位置选取模型,最后通过实验将本算法与以往研究成果中的代表性的移动传感器网络定位算法进行了模拟比较和分析.

As a new technology of data-gathering ,Wireless sensor networks can be widely used so as to realize massive monitoring and tracking. It is the most basic support function of WSNs to ensure the location of the information. In this paper, an accurate localization algorithm based on MCL for mobile sensor networks is designed for special application scenes ,Which include the movement prediction model and the location selection model. Finally,a simulation is processed to compare this algorithm with some other typical methods.