多传感器数据融合中自组织网络数据的随机分析

The Ad-hoc Network Random Analysis about Multi-sensors Data Fusion

基于对无人机系统自组织网络的随机分析,得到了一个同心圆区域(子空间)的传感器模型。利用网络子空间对目标进行实时监测跟踪。各个子空间再把检测到的信息发送到数据融合中心,发送的数据进入一个(M/M/1)排队系统,网络系统构成一个复合随机过程,然后通过统计分析来估算网络传感器发送数据包到数据融合中心所花费的平均时间。仿真结果表明这一随机模型是合理的。

Based on random analysis for the UAV ad-hoc network, a concentric circle domain as a sensor subspace model is derived. Objects could be monitored and tracked by sensor network in real time. The information detected by subspaces is transmitted to data fusion center, which enters a queuing system （M/M/1）model, a compound stochastic process is obtained, conseque/atly the average time, which network sensor transmits data package to the data fusion center, is evaluated by using statistic analysis. The simulation shows that assumed above stochastic model is reasonable.