基于锚节点-边框的非测距车辆跟踪算法

Range-free tracking vehicle algorithm based on Anchor and box

VANET中基站可能是移动的或静态的锚节点,在这种情况下,为实现车辆的跟踪,提出一种基于锚节点-边框的分布式非测距车辆跟踪算法。观察邻居节点,建立锚节点-边框,进行抽样,缩小估计车辆可能区域;利用离群-抑制技术对数据进行滤除,剩余的区域就是车辆的位置。对算法进行模拟实验,实验结果表明,该算法的归一化平均跟踪误差约为0.09,具有稳健的跟踪性能。其通过与邻居锚节点的连接实现对车辆的跟踪,建立Anchor box,降低了定位成本,提高了定位精度。

Base-station can be either mobile or static anchor nodes, to realize the vehicle tracking, Anchor box based distributed and range-free tracking vehicle algorithm was proposed. Range-free implied that only connectivity along with audible anchor loca- tions were used in tracking the vehicles. Neighbor node was observed and Anchor box was built. Outlier rejection technique was used to filter samples and filter out data. The rest of the area was the location of the vehicle. The algorithm was simulated with experiments. Simulation results show that normalized average tracking error of the proposed algorithm is 0.09, which means it has steady tracking performance. The algorithm is realized through the connection of the vehicle tracking and neighbor anchor nodes, and the Anchor box is established. It reduces the cost of positioning, and improves the positioning accuracy.