Energy Enhancement in Wireless Sensor Networks Based on SVD and DWT Algorithms

The Energy Enhancement and increasing the network lifetime in Wireless Sensor Networks (WSN) are the most important issues for the protocol design. In these networks, sensors have small dimensions, limited energy and have ability to sense the environments and can be used for data processing and information transmission between each other by means of radio channels. The Bandwidth and energy consumption of the WSN are two important issues that need to be considered. Most of the energy consumption in WSN is used for transmitting and receiving the data between nodes and among nodes and sub stations. Since the lifetime of sensors and lifetime of networks depends upon the limited amount of energy in sensor nodes, an efficient method of transmitting data between nods will reduce the energy consumption and prolong the network lifetime. To obtain a high efficiency WSN for increasing the network lifetime, data transmission of these networks need to be reduced by employing different methods of data aggregating and image compression, to reduce the energy consumption. We have presented an optimized image transmission technique for energy enhancement in WSN that utilizes the Discrete Wavelet Transform (DWT) and the Singular Value Decomposition (SVD). In our method the data aggregating and image compression are performed to reduce the rate of date transmission and to increase the network lifetime. Our algorithm used DWT to compress the images and then applied the SVD to eliminate the image redundancy in order to prevent the unnecessary data transmissions and prolongs the lifetime of sensor networks