Aggregation In Wireless Multimedia Sensor Network

Abstract

Image transmission in WMSN is expensive due to its large image size and significant energy consumption. One possible way to reduce the image size is to aggregate the received images on the sensor nodes before transmission. By eliminating the redundant image, image aggregation in WMSN could transmit the overlapped region of the images only once to reduce the total energy consumption. Image aggregation requires image processing at the aggregator node that incurs additional node processing energy. At the same time image aggregation scheme helps in reducing the communication energy by reducing the amount of data transmitted. As compared to the non-aggregation scheme, image aggregation scheme consumes only 46 percent of the energy consumption. An energy efficient communication protocol is proposed which works by leveraging the correlation of visual information of camera sensors. A spatial correlation coefficient is derived to describe the degree of correlation of visual information observed by cameras with overlapped field of views. We make use of correlation between captured images in the network scheduling process and propose a correlation based scheduling algorithm to maximize network lifetime of WMSN.