作　　者： ; ; ; ;

机构地区： 华南理工大学机械与汽车工程学院

出　　处： 《华南理工大学学报（自然科学版）》 2009年第8期61-64,70,共5页

摘　　要： 针对无线传感器网络（WSN）固定采样频率下机动性目标失跟率较高的问题，分析了机动性目标失跟的机理，建立了表征失跟率、采样频率、目标速率关系的数学模型，提出了降低目标失跟率的自适应采样频率方法，并对速度大小、方向变化的机动性目标跟踪问题进行仿真实验．结果表明，与固定采样频率方法相比，采样间隔距离参量d恒取不同值时自适应采样频率方法的失跟率平均降低了3．3％～6．0％；当d恒等于50m时，失跟率平均降低6．0％，网络能耗降低13．1％． In order to reduce the loss rate of maneuvering targets in wireless sensor network （WSN） with fixed sampiing frequency, the losing principle of maneuvering targets is analyzed and a mathematical model is established to describe the relationship among the loss rate, the sampling frequency and the target velocity. Moreover, a novel adaptive sampling frequency method to reduce the target-losing rate is proposed, and some maneuvering targets with variable velocity and moving direction are tracked by simulation. The results show that, as compared with the fixed sampling frequency method, the proposed adaptive method greatly reduces the loss rate by 3.3% -6.0% at various sampling intervals, and at an interval of 50 m, the loss rate is reduced by 6.0% with a corresponding energy consumption decrease by 13.1%.

关 键 词： 无线传感器网络 目标跟踪 失跟率 自适应性 采样频率

领　　域： [自动化与计算机技术] [自动化与计算机技术]