Que: a sensor network rapid prototyping tool with application experiences from a data center deployment

  • Authors:
  • David Chu;Feng Zhao;Jie Liu;Michel Goraczko

  • Affiliations:
  • EECS Department, UC Berkeley, Berkeley, CA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA

  • Venue:
  • EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
  • Year:
  • 2008

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Abstract

Several considerable impediments stand in the way of sensor network prototype applications that wish to realize sustained deployments. These are: scale, longevity, data of interest, and infrastructure integration. We present a tool, Que, which assists those sensor network deployments transitioning from prototypes to early production environments by addressing these issues. Que is able to simulate realistic deployments with faithful data, provide fast and iterative feedback on operations, and compose applications quickly in a platform-independent manner. We demonstrate Que's applicability via tests against our new data center environment-monitoring deployment, DataCenter.NET.