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Power profiling of multimedia sensor node with name-based segment streaming

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Multimedia streaming from miniaturized sensors is attractive for a wide range of web-based applications, including surveillance and Internet of Things (IoT) applications. This paper profiles the power consumption in a… Click to show full abstract

Multimedia streaming from miniaturized sensors is attractive for a wide range of web-based applications, including surveillance and Internet of Things (IoT) applications. This paper profiles the power consumption in a wireless video sensor node. We compare the power consumption of video streaming frameworks based on a manifest file, such as the Hypertext Transfer Protocol (HTTP) Live Streaming (HLS), with a Wireless Video Sensor Network Platform compatible Dynamic Adaptive Streaming over HTTP (WVSNP-DASH) framework. The WVSNP-DASH framework is based on independently playable video segments that convey the metadata required for playback in their names (and do not require a manifest file). The power consumption components of the video capture and storage pipeline are evaluated. The presented extensive power profiling measurements provide real-world empirical data on architectural design decisions for multimedia sensor nodes suitable for IoT applications. Our measurement results indicate that the name-based WVSNP-DASH framework is well suited for flexible low-power web-based video streaming from miniaturized sensors.

Keywords: power profiling; video; multimedia sensor; power; sensor node; sensor

Journal Title: Multimedia Tools and Applications
Year Published: 2017

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