Device characteristics-based differentiated Energy-efficient Adaptive Solution for video delivery over heterogeneous wireless networks

The limited battery capacity of current mobile devices and increasing amount of rich media content delivered over wireless networks have driven the latest research on energy efficient content delivery over wireless networks. Many energy-aware research solutions have been proposed involving traffic shaping, content adaptation, content sharing, etc. The existing solutions focus on the delivery application without considering application running environment and device features that pose different energy constraints on the whole content delivery process. This paper presents a Device characteristics-based differentiated Energy-efficient Adaptive Solution (DEAS) for video delivery over heterogeneous wireless networks. DEAS constructs an energy-oriented system profile including power signatures of various device components for each running application. Based on this profile, an energy efficient content delivery adaptation is performed for the current application. The proposed solution is evaluated by simulation-based testing and compared with other state of the art approaches in terms of performance and energy efficiency. The results show how DEAS outperforms the other well-known solutions.