基于统计假设检验的虚拟传感网容错策略

为了减少多应用目标的传感器网络的能量消耗和实现较高的故障传感器节点识别率,在基于簇树的虚拟传感器网络框架上,通过检验本地数据采集序列与事件统计特征的符合程度来判断错误是否发生,充分利用了随机过程描述事件的时间相关性,提出了一种基于统计假设检验的虚拟传感器网络容错策略.实验结果表明,在任意节点能量耗尽之前,多事件监测比单事件监测产生更少的单播消息量,却分发更多的多播消息.而且,随着传感器节点错误概率的增加,系统能保持较理想的节点错误识别率和事件区域监测概率.

Fault-Tolerant Strategy for VSN Based on Statistical Hypothesis Testing

In order to minimize energy dissipation and obtain higher fault sensor nodes recognition rate for deploying multi-target monitoring wireless sensor networks(WSN),a fault-tolerant strategy for virtual sensor networks(VSN) based on statistical hypothesis testing was proposed.On the cluster tree based VSN architecture,the fault occurring was judged by checking the matching degree between local data reading sequence and event statistical characteristics.The simulation results showed that before any node energy exhaustion,the multi-event monitoring produced less unicast messages and more multicast messages than single-event monitoring.In addition,the proposed strategy can maintain the fault identification rate and event region monitoring probability at the satisfactory level with increase of the sensor nodes fault probability.