Panoptes: scalable low-power video sensor networking technologies

  • Authors:
  • Wu-chi Feng;Brian Code;Ed Kaiser;Mike Shea;Wu-chang Feng;Louis Bavoil

  • Affiliations:
  • OGI School of Science and Engineering at OHSU, Beaverton, OR;OGI School of Science and Engineering at OHSU, Beaverton, OR;OGI School of Science and Engineering at OHSU, Beaverton, OR;OGI School of Science and Engineering at OHSU, Beaverton, OR;OGI School of Science and Engineering at OHSU, Beaverton, OR;OGI School of Science and Engineering at OHSU, Beaverton, OR

  • Venue:
  • MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
  • Year:
  • 2003

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Abstract

Video-based sensor networks can provide important visual information in a number of applications including: environmental monitoring, health care, emergency response, and video security. This paper describes the Panoptes video-based sensor networking architecture, including its design, implementation, and performance. We describe a video sensor platform that can deliver high-quality video over 802.11 networks with a power requirement of approximately 5 watts. In addition, we describe the streaming and prioritization mechanisms that we have designed to allow it to survive long-periods of disconnected operation. Finally, we describe a sample application and bitmapping algorithm that we have implemented to show the usefulness of our platform. Our experiments include an in-depth analysis of the bottlenecks within the system as well as power measurements for the various components of the system.