Wireless sensor network early warning method and system based on clustering compressed sensing

Abstract

The invention discloses a wireless sensor network early warning method and system based on clustering compressed sensing. The method comprises the following steps: S1) calculating optimal cluster number and optimum cluster head space distribution by a gateway according to geographic position and an energy consumption model of each sensor node in a wireless sensor network; S2) obtaining monitoring data in a cluster, and converting the monitoring data into binary reading and a binary bit string sequence according to a threshold value; S3) carrying out dense random projection and sparse random projection thereon to obtain a compressed sensing sequence, and carrying out reconstruction on the compressed sensing sequence to obtain a reconstructed sequence; S4) carrying out judgment according to estimated value of the reconstructed sequence, and summarizing the number of effective neighbor nodes executing a majority vote method; and S5) if the number of the effective neighbor nodes is larger than a preset threshold value, determining that the node has an abnormal event. Real-time performance and fault tolerance of the monitoring method can be improved; influence of the fault nodes on abnormal event detection reliability is reduced; and network energy consumption in the data collection process can be reduced.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a wireless sensor network early warning method and system based on clustering compressed sensing. Background technique [0002] Wireless sensor networks are considered to be one of the important components of the Internet of Things. As the core technology of the Internet of Things, a strategic emerging industry that "perceives China", wireless sensor networks have been used in geological disaster monitoring, environmental protection, industrial control, Internet of Vehicles, Small-scale practical applications have been achieved in areas such as smart homes. However, in the event monitoring wireless sensor network application system, the sensor nodes are all on the order of "hundreds", and the survival time of the network is too short to see the advantage. The wireless sensor network we once imagined has tens of thousands of nodes. The significance of the existence...

AI Technical Summary

Problems solved by technology

[0011] The technical problem to be solved by the present invention is to provide a method that can effectively reduce energy consumption and accurately detect the defects of the two types of DR and TV methods in the prior art and the defect of large energy consumption in the transmission process of data compression sensing using a tree strategy. High rate, fast response time wireless sensor network early warning method and system based on clustering compressed sensing

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