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

Adolph Seema, Tejas Shah, Lukas Schwoebel, Yu Liu, Martin Reisslein

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)21417-21443
Number of pages27
JournalMultimedia Tools and Applications
Volume77
Issue number16
DOIs
StatePublished - Aug 1 2018

Keywords

  • Dynamic adaptive HTTP streaming (DASH)
  • HTTP live streaming (HLS)
  • Power measurement
  • Video streaming
  • Wireless video sensor

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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