三维水声传感器网络中数据流的突发检测算法

Burst detection algorithm for data streams in three dimensional under water acoustic sensor networks

针对三维水声传感器网络中数据流突发检测的多源性和异质性,对描述突发异常的特征和属性进行形式化定义和建模;然后,提出一种基于进化博弈论的突发检测算法,通过滑动窗口大小的优化选择与配置提高突发检测模型的处理速度与检测性能。仿真实验结果表明,基于进化博弈论的突发检测算法在数据分布、突发概率或者最大滑动窗口大小相同的情况下,处理时间少于传统的突发检测算法。

Considering the multi-sourcing and heterogeneous data streams in three Dimensional UnderWater Acoustic Sensor Networks（3D UWASN）,this paper gave out a formalized definition and modeling for describing the characters and attributes of burst and presented an evolutionary game theory based burst detection algorithm for reducing processing time and improving detection performance through the optimization selection in the size of slide window.The simulations demonstrate that the burst detection algorithm consumes less processing time than traditional algorithms under the same conditions of data distribution,burst probability or maximum slide window size.