Wireless sensor network fault diagnosis method based on improved negative selection algorithm

Abstract

The invention discloses a wireless sensor network fault diagnosis method based on an improved negative selection algorithm, and relates to the technical field of wireless sensors. The method comprises the following steps: step 1, analyzing and researching an NSA principle to find an improvement point of an algorithm; 2, researching a WSN fault node detection method; 3, researching a WSN fault classification method; 4, performing verification and comparative research on the algorithm by using simulation software. According to the method, the fault detection accuracy is improved, and the time and energy consumed in the detection process are reduced, time can be saved, and rapid detection is facilitated.

Description

technical field

[0001] The invention belongs to the technical field, and in particular relates to a wireless sensor network fault diagnosis method based on an improved negative selection algorithm. Background technique

[0002] A wireless sensor network is a collection of tiny and inexpensive sensor nodes with low battery power and memory. Each node has the ability to perceive data, process and send data to other nodes or base stations, and the nodes are connected through wireless media. The characteristics of sensor nodes make them useful in various applications such as healthcare monitoring, forest fire monitoring, military applications, environmental monitoring, etc. When sensor nodes are deployed in unattended and harsh environments, they are prone to failures. In WSN, faults can be divided into two categories according to their behavior, namely hard faults and soft faults. Hard faults are called permanent faults, which manifest as the inability of sensor nodes to tra...

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