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A task scheduler framework for self-powered wireless sensors.

Mikael M Nordman1

  • 1Power Systems Laboratory, Helsinki University of Technology, P.O. Box 3000, FIN-02015 HUT, Finland.

ISA Transactions
|October 30, 2003
PubMed
Summary

This study introduces a novel scheduler framework for wireless sensors powered by ambient energy. It ensures reliable task prioritization and execution, overcoming challenges posed by unpredictable energy sources.

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Embedded Systems

Background:

  • Cabling limitations hinder intelligent sensor adoption.
  • Wireless sensors offer a solution but face energy availability challenges.
  • Ambient energy harvesting provides a long-term power source but is unpredictable.

Purpose of the Study:

  • To propose a new scheduler framework for reliable task management in ambient energy-powered sensors.
  • To address the issue of unpredictable energy sources affecting sensor task prioritization.
  • To ensure dynamic and priority-based task execution.

Main Methods:

  • Developed a scheduler framework utilizing environment parameters, virtual queues, and a state machine.
  • Implemented dynamic task execution management based on priorities.

Related Experiment Videos

  • Assessed the framework in a test system powered by a solar panel.

    • Main Results:

    • Demonstrated the framework's functionality in managing task execution.
    • Showcased reliable handling of task priorities despite energy fluctuations.
    • Validated the system's ability to operate without violating assigned priority schemes.

    Conclusions:

    • The proposed scheduler framework effectively manages tasks in ambient energy-powered sensors.
    • Reliable sensor operation is achievable even with unpredictable energy sources.
    • This framework enhances the feasibility of long-term, autonomous wireless sensor networks.