ABSTRACT
In dynamic adaptive streaming over HTTP (DASH), a video file is encoded at different bitrates and segmented into small chunks. Each time, the most appropriate bitrate will be selected for a video chunk based on the network condition observed by streaming client. This may lead to video freezing or not efficiently using the network capacity due to unexpected bandwidth changes especially in fast moving environment. In this research we take advantage of geographical knowledge of bandwidth to predict the network behavior in next moments. Using simulation driven by real-world 3G bandwidth and vehicular mobility traces we achieved higher QoS when geographical throughput history was considered.
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Index Terms
- Location-Based Adaptation for DASH in Vehicular Environment
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