Coverage Optimization For Directional Camera Sensor Networks

At present,the network composed of directional vision sensors is widely used in information collection,industrial monitoring and other fields.Realizing the optimal coverage of directional vision sensor networks is of great significance to effectively improve the work efficiency and monitoring ability of the entire sensor network.In this paper,two optimization algorithms are proposed based on the coverage model of a single sensor.The first algorithm is based on the idea of sensor information fusion,and a calculation method is proposed to characterize the joint sensor strength between multiple sensors and a single point;the second algorithm maximizes the coverage rate under the constraints of small overlapping coverage areas of sensors.The main works are follows:1.We improved the method of processing the sensor coverage strength,which is based on the Voronoi partition,and propose the performance index of "joint sensor strength" in the view of the idea of information fusion.The coverage area is divided by the geometric positions between adjacent sensors,which is based on the idea of Voronoi partition.This paper fuses the coverage strength of all sensors in a given area on account of the idea of joint probability,and integrates multiple coverage information into a comprehensive index.Conversely,this index can be used to reflect the comprehensive coverage strength level of all sensors,so as to achieve information fusion and optimal coverage of sensor networks.2.A new processing method is proposed for the overlap area between sensors,according to the coverage information of all sensors in the monitoring area.In this paper,the coverage information of sensor networks is showed in the matrix framework firstly,and then the crossinformation between sensors is processed by matrix operation.Lastly,the coverage performance function and constraints are obtained,and the optimal coverage is realized by using the related optimization methods.The simulation results show the effectiveness of this method.