Method for detecting boundary nodes of wireless sensor network event

Abstract

The invention belongs to the technical field of wireless sensor networks and specifically relates to a method for distributed detection of wireless sensor nodes positioned on the boundary of an event. The method disclosed by the invention comprises the following steps of: determining the number of fitting nodes according to the density of neighbor nodes in a neighborhood of a node to be determined; collecting perceptual attribute readings of all the neighbor nodes of the node to be determined, and constructing a fitting node set according to an event occurrence threshold and the number of the fitting nodes; selecting a fitting function according to the geographical distribution situation of the fitting nodes; taking the coordinates of the nodes in the fitting node set as fitting points to perform curve fitting to obtain a boundary curve equation; and calculating the shortest distance between the node to be determined and a curve to determine the boundary nodes. Compared with the existing method, the invention provides the method for detecting the boundary nodes based on the curve fitting, which can reduce the influence of the readings of fault nodes on the performance of the detection result by taking the distance between the node and the boundary as the basis for determining the boundary.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, in particular to a method for distributed detection of wireless sensor nodes located at event boundaries. Background technique [0002] Wireless sensor network is a large-scale network, and sensor nodes are generally distributed in unmaintained, harsh environments, and even deployed in enemy camps. Because wireless sensor networks can provide convenience for random, long-term and dangerous data acquisition in the field, and solve the problem of difficult data collection by traditional methods, they are widely used in a series of human interest, including military reconnaissance and environmental monitoring. during event monitoring. Usually, after using event detection technology to find that an event has occurred in the monitoring network, the scope of the event is what people want to know most, which requires knowing which sensor nodes are located at the border, so academic res...

AI Technical Summary

Problems solved by technology

This method has the following problems: First, the classifier used in this method needs to be constructed in advance, and a large number of samples are required for training; second, when the event range is small and the boundary curve in the neighborhood has a large arc, the straight line calculated by this method The error between the boundary and the actual boundary is very large, and the detection accuracy is very low at this time

First, the node that detects the abnormal data can identify the fault by collecting the sensing data of the neighbor nodes; after filtering out the error data of the neighbor nodes, the normal event node uses the method of statistical comparison to judge whether it is in the event boundary, the boundary The width can be adjusted according to the requirements of network users, but the high fault tolerance performance does not improve the accuracy of the boundary detection results, and the adjustment of the boundary thickness is difficult to control, resulting in large fluctuations in the detection accuracy

Images