The design and implementation of a declarative sensor network system

  • Authors:

  • David Chu;Lucian Popa;Arsalan Tavakoli;Joseph M. Hellerstein;Philip Levis;Scott Shenker;Ion Stoica

  • Affiliations:

  • University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;Stanford University, Stanford, CA;University of California, Berkeley, CA;University of California, Berkeley, CA

  • Venue:
  • Proceedings of the 5th international conference on Embedded networked sensor systems
  • Year:
  • 2007

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Abstract

Sensor networks are notoriously difficult to program, given that they encompass the complexities of both distributed and embedded systems. To address this problem, we present the design and implementation of a declarative sensor network platform, DSN: a declarative language, compiler and runtime suitable for programming a broad range of sensornet applications. We demonstrate that our approach is a natural fit for sensor networks by specifying several very different classes of traditional sensor network protocols, services and applications entirely declaratively -- these include tree and geographic routing, link estimation, data collection, event tracking, version coherency, and localization. To our knowledge, this is the first time these disparate sensornet tasks have been addressed by a single high-level programming environment. Moreover, the declarative approach accommodates the desire for architectural flexibility and simple management of limited resources. Our results suggest that the declarative approach is well-suited to sensor networks, and that it can produce concise and flexible code by focusing on what the code is doing, and not on how it is doing it.