In this paper, we study the angle coverage problem in visual sensor networks where all sensors are equipped with cameras. An object of interest moves around the network and the sensors near the object are responsible for capturing images of it. The angle coverage problem aims to identify a set of sensors that preserve all the angles of view of the object while fulfilling the image resolution requirement. The user is required to specify the minimum acceptable image resolution in the request. Only the images that fulfill the resolution requirement will be considered. In order to save transmission energy, the number of images to be sent should be minimized. We develop a distributed algorithm to identify the minimum set of sensors such that all these images cover the maximum angle of view of the target. Our simulation results show that our protocol can achieve significant reduction in transmission load while preserving the widest angle of view.
['Kit-Yee Chow', 'King-Shan Lui', 'Edmund Y. Lam']
Maximizing Angle Coverage in Visual Sensor Networks