Towards automatic synthesis of a class of application-specific sensor networks

  • Authors:
  • Amol Bakshi;Jingzhao Ou;Viktor K. Prasanna

  • Affiliations:
  • University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA

  • Venue:
  • CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
  • Year:
  • 2002

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Abstract

Automatic synthesis of sensor network-based systems can be described as the process of translating a formal specification of application functionality into a particular task mapping, settings of available hardware knobs, and communication and coordination mechanisms among the sensor nodes, so as to meet the performance requirements and constraints. We propose a general methodology to tackle a specific class of this problem, based on analytical performance modeling, multigranularity system simulation, and automatic refinement of model parameters. To demonstrate the utility and feasibility of our proposed methodology, we define a system model for a class of sensor networks, and implement a software framework for its modeling and simulation. Our graphical design environment supports plug-and-play integration of different performance models, simulation and visualization suites, and even automatic design space exploration and optimization tools.