Camera Sensor Network Coverage Optimization And Target Tracking Research

In recent years,the camera sensor network has been widely concerned because of its ability to perceive the rich physical world.Camera sensor network nodes are embedded with some devices,such as cameras or videos,so that they can capture images,video and other intuitive physical information,which can be used to carry out environmental monitoring.The coverage problem is an important research technology in the camera sensor network.The quality of the coverage directly determines the quality of the network.Because the camera sensor network is different from the traditional wireless sensor network,the sensing range of the camera node is a fan with a specific direction and angle,so many coverage algorithms for wireless sensor networks are not applied to camera sensor network,which requires us to design a new sensor network coverage algorithm.This paper studies the two aspects of regional coverage and moving target coverage tracking,takes the geometric characteristics of the camera node sensing range into account,and puts forward the corresponding perceptual model and algorithm,and finally analyzes and simulate.The contents of this paper are as follows:(1)This paper analyzes the existing camera sensor model,and on this basis,the model is optimized and further put forward the concept of square sensor model,to achieve the full coverage of the region.(2)Based on the full coverage of the region,this paper puts forward the regional coverage algorithm QCC based on the increase of service quality,which fully considers the clarity of the picture captured by the camera node and the different importance of the region.And on this basis,the QCC strategy is optimized and the QCC-D strategy is proposed for the important region.The simulation results show that the algorithm improves the service quality of the region obviously.(3)In this paper,we get the inspiration from the model of "cellular",further optimize the perceptual model,and take full account of the rotation characteristics of camera nodes,and then propose the Cellular model,in the center of a hexagon,which deploys two opposing camera nodes.Furthermore,we propose a Decision Based On Cellular Algorithm(DBCA).Through the location,we select the smallest angle of the video node which need to rotate to achieve the target tracking.The experimental results show that the algorithm proposed in this paper has a small loss rate and rotation angle,which can effectively track the target and reduce the energy consumption.(4)In the tracking strategy of the target,we also examine the difference between the random deployment model and the deterministic deployment model.The experimental results also show that the deterministic deployment model can not only reduce the duplication coverage,but also save the network energy consumption of camera sensor network.