A client-side statistical prediction scheme for energy aware multimedia data streaming

The recent proliferation of streaming multimedia on a variety of mobile devices has severely tested their battery lifetime. The long running nature of typical streaming applications results in significant energy consumption by the wireless network interface card (WNIC) in these mobile devices. In this paper we explore linear prediction-based client-side strategies that reduce the WNIC energy consumption to receive multimedia streams by judiciously transitioning the WNIC to a lower power consuming sleep state during the no-data intervals in the multimedia stream, without explicit support from the multimedia servers themselves. Experimental results on popular streaming formats such as Microsoft Media, Real and Apple QuickTime show that a linear prediction-based strategy performs better than history-based strategies that use simple temporal averaging