Event detection method in wireless sensor network

Abstract

The invention belongs to the technical field of wireless sensors, and discloses an event detection method in a wireless sensor network. The event detection method in the wireless sensor network comprises the steps of using time correlation of node reading to cluster data streams in a node time window, detect an event, and store data features of the stored event via an improved low rank spatial clustering algorithm; and classifying abnormal values in real time and judging whether the abnormal value is the event reading via an improved random forest classification algorithm. According to the method provided by the invention, the clustering algorithm and the classification algorithm is combined, so that the event region detection can be rapidly and accurately performed under the condition of being lack of a training set; furthermore, low energy consumption is needed by a detection algorithm, so that compared with traditional algorithms, the detection algorithm saves energy consumption of information exchange between nodes, and is particularly applicable to multi-dimensional data.

Description

technical field [0001] The invention belongs to the technical field of wireless sensors, in particular to an event detection method in a wireless sensor network. Background technique [0002] With the vigorous development of modern technology, wireless sensor networks (WSNs) have been widely used in various fields. WSNs is a network system based on wireless communication, which deploys a large number of sensor nodes in the monitoring area. Each sensor node is scattered in the target area, and performs the tasks of sensing, collecting and processing relevant information for the target area; nodes can communicate with each other through wireless means, and when the node sends information to the sink node, it uses multi-hop In this way, the information is transmitted to the sink node through forwarding between nodes. The aggregation node can pass all the collected information through communication devices such as satellites and the Internet, and finally reach the end users. ...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problem existing in the prior art is: when the clustering algorithm is used in the current event detection method in the wireless sensor network, because the category of its classification is not clear, it is easy to judge the readings of the normal situation as the event readings. At this time, the algorithm The detection performance is low; when clustering the readings within the time window of a single node, it takes a certain period of time to determ

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