eDOAS: energy-aware device-oriented adaptive multimedia scheme for Wi-Fi offload

Mobile devices became an essential part of every person daily routine enabling them to browse the Internet, watch videos, work and play online anytime and anywhere. However this led to a tremendous growth in user generated data traffic putting significant pressure on the underling network technology. Thus, in order to cope with this explosion of data traffic, Wi-Fi offload became a popular solution for network operators. The solution enables the network operators to accommodate more mobile users and keep up with their traffic demands. Moreover, with the energy conservation becoming a critical issue around the world, it provides motivation for this paper to propose an Energy-aware Device-Oriented Adaptive multimedia Scheme (eDOAS) for Wi-Fi Data Offload. eDOAS adapts the interactive multimedia application to the underlying Wi-Fi network conditions, device characteristics and device energy consumption, in order to prolong the battery lifetime of the mobile device and maintain an acceptable user perceived quality level. Real test-bed energy consumption measurements were conducted on five different devices and the performance of eDOAS was analyzed against other schemes from the literature, in terms of energy consumption, service outage, average throughput, packet loss and PSNR.