无线传感网中基于成对节点探测不确定性的目标容错跟踪方法

Tracking with Pairwise Uncertainty of RSSI Based on Pairwise Sensing Uncertainty in Wireless Sensor Networks

针对无线传感器网络(Wireless Sensor Networks,WSN)中的节点在真实环境中的不可靠感知现象及其对目标跟踪精度的影响,首先分析计算了成对传感器节点感知存在的不确定区域及其边界,在此基础上,提出了一种基于成对节点探测不确定性的目标容错跟踪方法(Tracking with Pairwise Uncertainty of RSSI,TPU-RSSI),即通过匹配分组感知采样得到的感知向量(sampling vector)和跟踪区域划分面(face)的特征向量(signature vector)来进行移动目标容错跟踪。该方法在保持跟踪方法灵活性的基础上,能够减小由环境因素带来的跟踪误差。为了降低计算复杂度,提出了一种基于邻居面连接的启发式匹配算法。大量的仿真实验结果均表明,所提方法相比同类的其他方法具有更强的灵活性和更高的定位精度。

Focusing on the unreliable sensing phenomenon in wireless sensor networks and its impact on target-tracking accuracy, this paper first analyzed the uncertain area caused by the uncertainty of pairwise sensing results and its boun- daries. Then the tracking with pairwise uncertainty of RSSI （TPU-RSSI） strategy was proposed. Hence, the tracking problem is transformed into a vector matching process, which matches the signature vector of divided faces with the sampling vector formed by the burst grouping samplings, in order to improve the tracking flexibility, increase the trac- king accuracy and reduce the influence of in-the-filed factors. In addition, a heuristic matching algorithm was introduced to reduce the computational complexity. The experiment results show that TPU-RSSI is more flexible and has higher tracking accuracy than related methods.