基于多事件并发的无线传感网数据一致性信任评价

摘要

目前无线传感器网络的信任评价模型主要研究节点通信方面的信任,很少研究节点发送数据一致性方面的信任.数据一致性信任评价要求一段时间以内传感区域只发生一个事件,否则不但不能准确区分多个事件,还会把合法节点与恶意节点混淆,针对这一局限,提出一种适用于多事件并发的数据一致性信任评价方法.仿真结果表明,在传感区域多事件并发的时候,该方法能准确区分多个事件,也能发现并排除恶意节点,降低误判率.%Currently, trust evaluation models mainly research the trust of nodes communication and few of these models research the trust of data consistency. However,trust evaluation of data consistency requires that sensing area happens only one event in a period of time,otherwise events can not be distinguished from each other accurately and legitimate node may be mistaken as malicious nodes. To resolve this problem, we proposed a method of trust evaluation of data consistency which is suitable for multi-event is concurrent. Simulation results show that, when multi-event is concurrent in sensing area,networks can distinguish events from each other accurately. It also can discover and exclude malicious nodes and reduce the false positive rate.