A Safe Positioning Method Based on Ranging in Wireless Sensor Networks

Abstract

Aiming at the safe positioning problem of the wireless sensor network, the invention proposes a safe positioning method based on distance measurement. This method combines the advantages of the proposed improved density clustering algorithm and the hypothesis test of distance consistency. Through the detection of malicious anchor nodes, the influence of malicious anchor nodes on the positioning process is eliminated, and the effectiveness of positioning is guaranteed. The proposed MNDCC and EMNDCC algorithms include four stages: data collection, adaptive multiple DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering, establishment of detection model, and sequential probability ratio test. The measurement values ​​(RSSI, TOA) have the characteristics of consistency to detect malicious anchor nodes, and further judge the detection results according to the sequential probability ratio test of statistical decision-making, which effectively reduces two types of errors ("abandoning the truth" and "taking the truth") Pseudo") occurs. The whole algorithm effectively improves the detection rate of malicious anchor nodes, thereby improving the positioning accuracy and ensuring the effectiveness of positioning.

Description

technical field [0001] This patent relates to the field of wireless sensor networks (Wireless Sensor Networks, WSNs), in particular to a safe positioning method for WSNs based on distance measurement. Background technique [0002] The Internet of Everything is a hot spot nowadays, and the wireless sensor network is the core component of the Internet of Things. It is closely related to the Internet of Things technology, and it can be said that WSNs are the technical support of the Internet of Things. WSNs mainly collect the information collected by many sensor nodes scattered in an area through wireless communication, so as to monitor and control the specific state in the area. WSNs have a wide range of applications, from environmental perception to vehicle tracking, from habitat monitoring (such as detecting and controlling the spread of wildfires) to battlefield management (such as detecting and tracking enemy vehicles), etc. In these applications, there is a common featur...

AI Technical Summary

Problems solved by technology

The second is to interfere with the ranging process

However, there are still some deficiencies in the existing security positioning algorithms: in some algorithms, the detection accuracy of the behavioral characteristics of malicious anchor nodes is not high, and there are cases where they cannot be detected, and the complexity of the detection method is too high, which indirectly increases the Power consumption of sensor nodes, which reduces the lifetime of the network, and some utilize additional specialized hardware, which is too costly for large-scale networks

Poor universality, usually only works on attacks in specific scenarios, and with the development of related technologies, various attack methods emerge in an endless stream, which is unpredictable, so it is hard to guard against

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