Optimal image transmission for visual sensor network

Due to the large volume and inherit computational complexity of captured images in VSN (Visual Sensor Network), the renewable energy system based on solar energy is of particular interest for EH (Energy Harvesting)-VSN. In addition, since additional energy consumption after capturing an image is continuously made for the subsequent events of image processing, mote operation, data transmission and reception, the capturing rate for image sampling significantly effects on the lifetime of node. Towards this end, we explore a novel energy-efficient framework for EH-VSN by developing an algorithm named CAPTURE (Capturing rate and pervasive network control algorithm for multi camera network) where the QoS (Quality of Service) is maximized by obtaining the optimal values of capturing rate and allocated energy based on the FoV (Field of View)-based networking in the presence of event and power acquisition patterns.