Comparison of real time image transfer in wireless multimedia sensor networks

Abstract

Wireless Multimedia Sensor Networks (WMSN) allows developing many applications which addresses to many areas like mobile healthcare, environmental monitoring and traffic monitoring. During those applications, real time data transmission is very important in terms system security and usability while the multimedia data is processed and transferred. Namely, it is required to transfer data taken from a sensor to another sensor or to a base station as soon as possible. The most time-consuming part is caused by image compression algorithms. In this study, the computation speeds of the basic image compression algorithms Discrete Cosine Transform (DCT) and Embedded Zero-tree Wavelet (EZW) are compared. This operation is realized on the sensors and the transmission time is not added to the computation time. The algorithms are compared via MATLAB. This study may set light to the efficiencies of some algorithms which are derived from the compared algorithms in real time image transmission.