基于DLP的无线传感器网络链路故障诊断技术的研究

Research on link fault diagnosis of wireless sensor network based on DLP

在大型无线传感器网络中,如何有效实时监控系统中的故障链接是研究中的一个难点。链路故障检测和网络诊断起着至关重要的作用。链路故障检测还可以发现其他潜在的网络瓶颈,如网络分裂、路由错误等,而且故障节点还将影响其链接性能,包括发送和接收。然而依次检查所有潜在链接会导致过高的传输存储成本,现有方法往往侧重于正在使用中的链接,忽略潜在链接,这样将无法为故障检测提供更多的支持。提出一种新型实时监测无线链路的链接扫描方案,该方案会在网络中发出探测报文,收集传感器节点接收到此报文的跳数,其中故障链路会出现接收的跳数与网络拓扑结构不匹配的现象,结合概率模型则能够推导出所有链路的状态。经过实验证明,该方案能够有效对无线传感器网络实施监控。

In large-scale wireless sensor networks,it proved very difficult to dynamically monitor system degradation and detect bad links.Faulty link detection plays a critical role in network diagnosis.Indeed,a destructive node impacts its links＇ performances including transmitting and receiving.Similarly,other potential network bottlenecks such as network partition and routing errors can be detected by link scan.Since sequentially checking all potential links incurs high transmission and storage cost,existing approaches often focus on links currently in use,while overlook those unused yet ones,thus fail to offer more insights to guide following operations.This paper proposd a new model for monitoring wireless links at real time.This model issues one probe message in the network and collects hop counts of the received probe messages at sensor nodes.Based on the observation that faulty links can result in mismatch between the received hop counts and the network topology,it able to deduce all links＇ status with a probabilistic model.This model can be reliably applied to surveillance networks.