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A State Machine Sensor Network for Ephemeral Stream Detection

Author

Listed:
  • Michael A. Murphy

    (Department of Electrical Engineering and Computer Science, Syracuse University, Center for Science and Technology, Syracuse, NY, USA)

  • Christopher J. Post

    (Department of Forestry and Natural Resources, Clemson University, Clemson, SC, USA)

Abstract

Sensor networks based on the de facto standard Berkeley TinyOS platform are changing the way environmental information is collected in the field. One such network has been designed, deployed, and tested in order to determine where ephemeral streams (small, temporary channels of runoff) form during precipitation events. This small, proof-of-concept test network was designed around a generic nondeterministic finite state machine component, which was built to be re-used in later environmental sensor network applications. A simplistic broadcast mechanism was devised to provide collective sampling interval changes to adapt to environmental conditions. In this paper, the design and testing of the ephemeral stream detection network are discussed, along with design features that can be re-used in later applications. Improvements for a later deployment of a larger, operational ephemeral stream detection network are also described.

Suggested Citation

  • Michael A. Murphy & Christopher J. Post, 2006. "A State Machine Sensor Network for Ephemeral Stream Detection," International Journal of Distributed Sensor Networks, , vol. 2(3), pages 191-199, July.
    • Handle: RePEc:sae:intdis:v:2:y:2006:i:3:p:191-199
    DOI: 10.1080/15501320600740348
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