Quick fault-tolerance detection method for monitoring abnormal event by wireless sensor network

Abstract

The invention relates to a quick fault-tolerance detection method for monitoring an abnormal event by a wireless sensor network, and belongs to the technical field of the Internet of things. The sensor network is formed by self-organizing a large number of low-end sensor nodes; each node has finite power energy, communication capacity, calculation capacity and storage capacity and is generally arranged in an unattended severe environment; the possibility that each node makes a mistake is extremely high; and if the node makes a mistake, the network probably misjudges an event in a monitoring region. According to the method, the states of the nodes are adaptively managed by using confidence level, and failed nodes are removed from the sensor network, so that the influence of the failed nodes on abnormal event detection is reduced; and furthermore, a sliding window matching mechanism is used for detecting the change tendency of node monitoring data, so that whether the nodes can detect the abnormal event is forecasted. A simulation test shows that the reliability and the timeliness of detecting the abnormal event are improved, and the method can be widely applied to the fields of safety production monitoring, geological disaster monitoring, environment pollution monitoring and the like.

Description

Technical field [0001] The invention relates to a fast fault-tolerant detection method for monitoring abnormal events in a wireless sensor network, referred to as FTV for short, is suitable for a wireless sensor network system with self-organizing characteristics, and belongs to the technical field of the Internet of Things. Background technique [0002] The Internet of Things has a wide range of uses, covering many fields such as industrial and agricultural production, environmental monitoring, modern logistics, and security. According to the prediction of the "China Market Intelligence Center", the scale of my country's Internet of Things industry will reach 800 billion yuan in 2013 and exceed 5 trillion yuan in 2020. The Internet of Things can well integrate the physical world and the information world, and fundamentally change the existing IT system. However, the large-scale industrialization of the Internet of Things still needs to solve some key problems, and one of the ma...

AI Technical Summary

Problems solved by technology

The advantage of this method is that when the node failure rate is low, the accuracy of detecting abnormal events is high, the false alarm rate is low, and the fault tolerance is good; however, the disadvantage of the existing MV method and its series of improved methods is the response time Long, large delay, poor timeliness

Because these methods use the spatial correlation of the monitoring values ​​of the nodes to achieve fault tolerance, although the reliability is improved, it is inevitable to prolong the response time for detecting abnormal events.

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