An optimized discrete wavelet transform compression technique for image transferring over wireless multimedia sensor network

Transferring images in a wireless multimedia sensor network (WMSN) knows a fast development in both research and fields of application. Nevertheless, this area of research faces many problems such as the low quality of the received images after their decompression, the limited number of reconstructed images at the base station, and the high-energy consumption used in the process of compression and decompression. In order to fix these problems, we proposed a compression method based on the classic discrete wavelet transform (DWT). Our method applies the wavelet compression technique multiple times on the same image. As a result, we found that the number of received images is higher than using the classic DWT. In addition, the quality of the received images is much higher compared to the standard DWT. Finally, the energy consumption is lower when we use our technique. Therefore, we can say that our proposed compression technique is more adapted to the WMSN environment

Leach: Effect of round length on transferring images using the DWT compression technique

The advancements in electronics has permitted the production of small devices called sensors. These nodes can capture different types of data like images. The network that performs this role is called WMSN (wireless multimedia sensor network). In this kind of networks, a routing protocol is very important. One of the key features of Leach is the efficient management of energy. However, when it comes to send images, we have to verify the energy efficiency. In fact, we use transferring images using WMSN like agriculture and surveillance among others in multiple areas. In this paper, we are going to simulate this protocol using Omnet++/Castalia. We are also going to see the effect of round length on energy consumption and the number of transferring images