Method for positioning non-interactive wireless image sensor network

Abstract

The invention discloses a method for positioning a non-interactive wireless image sensor network, and the method comprises the following steps that: when moving across a deployment area of the wireless image sensor network, a mobile beacon node stops in certain specially selected positions, and broadcasts the current coordinates of the positions by way of beacons; after receiving the beacons, surrounding image sensor nodes immediately carry out image formation; and after an image sensor node accumulates enough images, through combining with the coordinates of the mobile beacon nodes corresponding to the images, the coordinates and orientation of the image sensor node can be calculated by using an algorithm proposed by the invention. The method for positioning a non-interactive wireless image sensor network disclosed by the invention has the advantages that the costs for calculation and communication in a positioning process are both extremely low, and the positioning process can be realized both on a two-dimensional plane and in a three-dimensional space in a distributed manner; and in the positioning process, all information interactions are performed unidirectionally from mobile beacon nodes to image sensor nodes without any interactive behaviors, thereby avoiding the possibility of divulging the positions of the nodes and the visual field information of cameras in the positioning process.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks and multimedia sensors, relates to wireless image sensor network positioning technology, and is used for calculating node positions in the wireless image sensor network. Background technique [0002] Wireless sensor networks have developed rapidly in the past decade, and their applications span many different fields. In recent years, with the improvement of industrial production technology and the continuous reduction of the cost of CMOS lens and flash memory, the wireless image sensor network has been greatly developed. In many application fields, such as environmental monitoring, military applications, telemedicine, traffic flow monitoring, construction Security monitoring, etc., showing unprecedented advantages. [0003] Most applications of wireless image sensor networks use the location information of sensor nodes as the basic element. Therefore, the location of wireless image sensor ...

AI Technical Summary

Problems solved by technology

These methods seem reasonable, but considering that the actual network deployment is often sparse, the node FOV may not have intersection, so the practicability of these methods is very limited; some positioning methods require complex image processing, the calculation overhead is very high, and Not suitable for low-end image sensor nodes with extremely limited computing and storage resources

[0017] Second, existing interactive localization methods make wireless image sensor networks vulnerable to malicious attacks and system security is threatened

However, one of the characteristics of image sensors is that the energy consumption of image sampling is also very high, no less than that of wireless communication

Excessive image sampling for interactive positioning will undoubtedly consume too much energy and greatly reduce the life of the wireless image sensor network

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