Abstract
Video applications are an important part of mobile devices. Capacity of battery is increasing maximum of 10 percentage per year, which may not be sufficient for upcoming application and operating system. Power consumption by video application depends on factors like network load, signal quality, bandwidth and it can be optimized through heuristics based streaming. The work presented here exploits adaptive bitrate streaming to determine the optimum bitrate for available bandwidth. Selection of optimum bitrate ensures quality delivery of video as well as optimum power consumption of the device. Moving Picture Expert Group - Dynamic Adaptive Streaming over HTTP (MPEG-DASH) has been used for implementing the switching between the bitrates. The fifteen bitrates selected for encoding are closer to the mean value which is available for streaming. The approach has been tested on an Android based tablet over thirty videos to check the dependency of the factors on each other. This is the major approach to establish relationship between bitrate and power consumption for video streaming. The result obtained shows a 14 percentage of power saving with minimum buffering and good quality of service.
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