Wireless Visual Sensor Node Placement Optimization Considering Different Distributions of Events

Wireless Visual Sensor Networks (WVSNs) have a mesh mechanism, which enables a wide area imaging and image collection is done through multi-hop communication between multiple sensor nodes equipped with visual sensors. Therefore, they can be used for monitoring infrastructure facilities and rivers. However, the placement of sensor nodes has a significant impact on the connectivity and transmission loss of wireless communication in WVSNs and the imaging range of visual sensors is limited. Thus, it is necessary to find the optimum sensor node arrangement and imaging direction of the visual sensors in order to cover all events within the monitoring area. In this paper, we propose an intelligent system for optimizing sensor node placement in WVSNs. The proposed system integrates two methods for sensor node placement by considering the number of events within the imaging range of the visual sensor and the imaging direction of the visual sensor. To evaluate the proposed method, computer simulations are performed for two scenarios with uniform and normal distribution of events. The simulatione results show that the proposed method maximizes the Size of Giant Compponent (SGC) and all sensor nodes are connected. From the visualization results, we found that in CCM-based SA, the nodes are spread over a wider area and all events are covered within the imaging range of the visual sensor.