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A Context-based Adaptive Multimedia Streaming Scheme in IoT Environments
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 Title & Authors
A Context-based Adaptive Multimedia Streaming Scheme in IoT Environments
Seong, Chaemin; Hong, Seongjun; Lim, Kyungshik;
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 Abstract
In Internet of Things (IoT) environments, billions of interconnected devices and multimedia sensors generate a huge amount of multimedia traffic. Since the environment are in general deployed as a server-centric architecture wireless sensor networks could be bottlenecks between IoT gateways and IoT devices. The bottleneck causes high power consumption of the device and triggers very heavy network overload by transmission of sensing data. The deterioration could decrease the quality of multimedia streaming service due to delay, loss, and waste of device power. Thus, in this paper, we propose a context-based adaptive multimedia streaming scheme to support enhanced QoS and low power consumption in IoT environments. The goal of the scheme is to increase quality score per voltage of the streaming service, given an adaptation algorithm with context that are classified network and hardware such as throughput, RTT, and CPU usage. From the both context, the quality score per voltage is used in the comparison of a only network context-based adaptive multimedia streaming scheme, a fixed multimedia streaming and our scheme. As a result, we achieves a high improvement that means the quality score per voltage is increased up to about 4, especially in case of resolution change.
 Keywords
IoT;Sensor Networks;IoT Context;Adaptive Multimedia Streaming;
 Language
Korean
 Cited by
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