Wireless sensor network abnormal event detection method and system based on secondary mixed compression

Abstract

The invention discloses a wireless sensor network abnormal event detection method and system based on secondary mixed compression. The method comprises the steps that S1. primary compression is performed on original data sequences by a compression sensing method; and secondary compression is performed on the compressed sequences by a piecewise linear fitting method so that state edge operators are obtained; S2. edge amplitude and edge intensity of each data point in the compressed sequences are calculated, and new edge point sequences are formed by selecting edge points of low interpolation error from edge point sequences; S3. characteristic value sequences are obtained according to edge point sequences; S4. local accessible density and local abnormal factors are calculated; and S5. event detection is performed in corresponding time sequence intervals according to the size of the local abnormal factors after mixed compression. Search efficiency and abnormal data accurate positioning capacity of wireless sensor network nodes can be enhanced so that abnormal events can be more efficiently and rapidly found; and timeliness of abnormity detection can be enhanced so that energy and communication bandwidth can be greatly saved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method and system for detecting abnormal events in a wireless sensor network based on secondary hybrid compression. Background technique [0002] Wireless Sensor Networks (WSN for short) is the mainstream form of future network development, and has become a new scientific research field in this century. There are many urgent problems that need to be solved at the two levels of basic theory and engineering technology. The wireless sensor network has low cost, low power consumption, and large-scale ad hoc network; the sensor nodes are small in size, battery-powered, and flexible in deployment; and they can adapt to harsh environments where monitoring is difficult for manpower; Monitoring capabilities for disaster prevention. In order to monitor various possible emergencies (such as landslides, air pollution, forest fires, etc.) in time, it is necessary to pay att...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method for compressing and reducing the dimension of the original data and reducing the communication bandwidth in view of the defect that it is difficult to directly detect the abnormality of the massive high-latitude time-series data generated by a large number of sensor nodes in the prior art. Abnormal event detection method and system for wireless sensor network based on secondary hybrid compression

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