基于DLP的无线传感器网络链路故障诊断技术的研究

发布时间：2018-02-24 20:51

本文关键词： 链路故障检测析取逻辑程序设计实时监控链路扫描推理数据库反馈　出处：《计算机应用研究》2014年06期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:In large wireless sensor networks, How to effectively monitor the fault link in real-time monitoring system is a difficulty in the research. Link fault detection and network diagnosis play an important role. Link fault detection can also find other potential network bottlenecks, such as network splitting. Routing errors and so on, and failure nodes can also affect their link performance, including sending and receiving. However, checking all potential links in turn can lead to excessive transport storage costs, and existing methods tend to focus on links in use. Ignoring potential links will not provide more support for fault detection. A new link scanning scheme for real-time monitoring of wireless links is proposed, which sends detection packets in the network. The number of hops received by the sensor node is collected, in which the number of hops received does not match the topology of the network, and the states of all the links can be deduced by combining the probabilistic model. This scheme can effectively monitor wireless sensor networks.
【作者单位】：安徽工程大学计算机与信息学院;
【基金】：国家自然科学青年科学基金资助项目(61300170) 安徽省自然科学基金资助项目(1308085MF88) 安徽高校省级自然科学研究项目(KJ2012B012) 安徽工程大学优秀青年人才基金资助项目(2013RZR011)
【分类号】：TP212.9;TN929.5

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