AbstractsPhysics

The advancements in technologies like multimedia, video streaming, and animations have enabled us to send high quality data over wireless networks. Wireless communication is more difficult to achieve than wired because, the surrounding environment interacts with the signal by blocking the signal???s path and introducing noise and echoes. This has opened up a lot of challenges on reducing power consumption and finding out ways to efficiently transfer data over networks. This thesis proposes a new approach for energy efficient video compression and transmission using H.264. The video compression is enhanced based on intra-frame and inter-frame prediction concepts. Using the compressed data, energy consumption and quality of the frame is calculated. A decision is then made to select the frame that consumes less energy and has good quality. This approach improves video quality and reduces energy consumption during communication. Amount of data that needs to be transmitted and the quality of the frame has a big impact on energy consumption. Advisors/Committee Members: Wang, Wei, Eckberg, Carl, Dunster, Timothy Marcus.