Multi-region indoor safety positioning method based on compressed sensing technology

Abstract

The invention provides a multi-region indoor safety positioning method based on a compressed sensing technology. The positioning method utilizes a compressed sensing principle, and comprises three stages of an offline stage, a safety monitoring stage and an online stage, i.e., 1, in a set region where a node to be positioned is positioned, anchor nodes are deployed according to an equilateral triangle, and according to a distance between the node to be positioned and each anchor node, an RSSI safety key matrix of the node to be positioned is constructed; an actual RSSI value received by the node to be positioned is compared with a corresponding value in the RSSI safety key matrix, and malicious anchor nodes are removed; and the node to be positioned receives sensed anchor node information in real time and draws an overlapping region, an orthogonalized sparse signal is reduced by utilizing a signal recovery algorithm, and accurate position estimation is carried out to obtain positioning information of the node to be positioned. By establishing a random number dictionary with an adaptive ability, malicious positioning information is removed, so that safety of positioning is ensured.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks, in particular to a multi-region indoor safe positioning method based on compressed sensing technology. Background technique [0002] Wireless sensor network indoor positioning has developed rapidly in recent years, including the application of intelligent sensing technology, embedded computing technology and communication technology to improve the accuracy of indoor positioning and broaden the application range of indoor positioning. [0003] Indoor positioning has been successfully applied in various fields in recent years, including museum navigation, warehouse navigation, parking lot navigation, etc. However, the current research in this field is mainly focused on how to improve the positioning accuracy and energy efficiency, and insufficient consideration is given to the security of wireless sensor networks in the process of indoor positioning. Since wireless sensor nodes are deployed...

AI Technical Summary

Problems solved by technology

However, the current research in this field mainly focuses on how to improve the positioning accuracy and energy efficiency, and insufficient consideration is given to the security of wireless sensor networks in the indoor positioning process.

Since wireless sensor nodes are deployed openly, they are easily captured by attackers, and the physical properties of the signals based on positioning are easily tampered by the outside world.

And because the signal transmission process is carried out in a completely open environment, this leads to the node's signal being easily intercepted or tampered with during transmission

The indoor positioning process of the wireless sensor network suffers from internal or external attacks, and the wrong positioning results may lead to the failure of network functions and errors in monitoring results, thereby destroying the effectiveness of network applications.

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