Region coverage optimization method suitable for video sensor network with adjustable sensing direction

Abstract

The invention discloses a region coverage optimization method suitable for a video sensor network with an adjustable sensing direction. The method comprises the following steps: building a mathematical model of directed sensor nodes by extracting parameters such as sensing directions, sensing radiuses and coordinate positions of video sensor nodes; building a monitoring region model after gridding a monitoring region of the network; and building a sensor node sensing region model based on the characteristic of limited sensing ranges of the sensor nodes. Through a built region coverage model, problems are solved through a particle swarm algorithm specific to the optimization goal of improving the network coverage. Through adoption of the region coverage optimization method based on the particle swarm algorithm suitable for the video sensor network with the adjustable sensing direction, region coverage is maximized, so that the resource utilization ratio and service quality of the video sensor network are improved effectively.

Description

technical field [0001] The invention belongs to the field of multimedia sensor networks, in particular to an area coverage optimization method for a video sensor network with adjustable perception direction. Background technique [0002] Video surveillance system has attracted more and more people's attention, and has also become a hot spot in the current academic field. Coverage is one of the most important issues in the research of video sensors. Coverage affects the performance and quality of surveillance network to a great extent, and has become a research hotspot and received a lot of attention. [0003] But there are still problems in the current video sensor network. The deployment of video sensor networks mostly adopts random deployment. Random deployment cannot form effective coverage, because the location and sensing direction of sensor nodes are unpredictable, and there are often a large number of overlapping coverage areas and coverage blind spots, resulting in ...

AI Technical Summary

Problems solved by technology

For the area coverage optimization problem of video sensor networks, typical methods are based on virtual potential field and Thiessen polygon methods, but the effect of these methods is not obvious when the number of sensor nodes is large

[0005] To sum up, at present, there are few studies on improving network coverage by adjusting the sensing direction of video sensor nodes. With the continuous expansion of the scale of video sensor networks and the increase in the number of nodes, an optimization method with good scalability is needed.

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