A Fault Diagnosis Method for Wireless Sensor Networks Based on Immune Mechanism

Abstract

The invention discloses an immune fault diagnosis method based on spatial correlation, and conducts research on faults of network nodes, including optimizing the immune mechanism and node diagnosis algorithm of spatial correlation, effectively integrating the immune mechanism and method, and introducing Modern intelligent algorithms such as bionics principles and immune mechanisms are used to carry out node fault detection and diagnosis research. By introducing the immune mechanism with fault identification, self-organization learning, and secondary immunity to the node fault diagnosis of wireless sensor network, the detection of node faults in wireless sensor network and the discrimination of diagnostic fault types are completed. Through the mutual recognition of antibody-antigen in the immune algorithm and the optimization of the memory antibody, on the basis of the original training samples, the fault database is classified according to the memory antibody, which increases the diversity of the fault database and improves the accuracy of fault diagnosis. It is to improve the fault tolerance and stability of the wireless sensor network.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a wireless sensor network fault diagnosis method based on an immune mechanism. Background technique [0002] Wireless sensor networks have the characteristics of large number of nodes, wide distribution range, Ad Hoc network without center, dynamic topology changes, communication and computing capabilities, network security and data-centricity. The unpredictability of the wireless sensor network working environment, such as interference factors, such as temperature, vibration and electromagnetic waves may cause malfunctions or malfunctions, such as radio frequency conflicts, clock asynchronous, battery exhaustion, signal loss and software operation errors, etc., which will greatly Reduce the reliability of sensor nodes, and weaken or invalidate some functions of wireless sensor networks. This poses a huge challenge to the reliable data transmission, stability and ...

AI Technical Summary

Problems solved by technology

The reliability detection and diagnosis of node faults, how to quickly and efficiently carry out fault diagnosis has become the research focus of wireless sensor networks. Stable operation will eventually affect the stability of the entire network operation and the reliability of information transmission, leading to a decline in the service quality of the entire network, and even the paralysis of the entire network system

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