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A Teleo-Reactive Node for Implementing Internet of Things Systems.

Pedro Sánchez1, Bárbara Álvarez2, Elías Antolinos3

  • 1División de Sistemas e Ingeniería Electrónica (DSIE), Universidad Politécnica de Cartagena, Campus Muralla del Mar, s/n, 30202 Cartagena, Murcia, Spain. pedro.sanchez@upct.es.

Sensors (Basel, Switzerland)
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Summary

We introduce the Teleo-Reactive approach to simplify Internet of Things (IoT) system development. This method uses goal-based specifications for IoT nodes, making development more accessible and efficient.

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Internet of ThingsTeleo-Reactive programmingmulti-agent systems

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Area of Science:

  • Computer Science
  • Software Engineering
  • Artificial Intelligence

Background:

  • The Internet of Things (IoT) is a rapidly advancing field with significant research, yet challenges remain in applying software engineering principles.
  • Existing methods often lack the abstraction needed for complex IoT systems and hinder non-technical user involvement.

Purpose of the Study:

  • To propose and validate the Teleo-Reactive approach for developing Internet of Things systems.
  • To enhance the development process by treating IoT systems as communicating Teleo-Reactive nodes.
  • To improve abstraction levels and facilitate non-technical user participation in IoT software specification.

Main Methods:

  • Defining Teleo-Reactive nodes based on goals, perceptions, and environmental actions.
  • Developing a systematic procedure to translate Teleo-Reactive specifications into executable code for IoT devices.
  • Utilizing a robotic agent case study to demonstrate and validate the proposed approach.

Main Results:

  • The Teleo-Reactive approach provides a higher level of abstraction for specifying IoT node behavior.
  • A clear procedure for translating high-level specifications into executable code was established.
  • The case study demonstrated the feasibility and effectiveness of the Teleo-Reactive method for IoT development.

Conclusions:

  • The Teleo-Reactive approach offers a promising solution for addressing software engineering challenges in IoT development.
  • This method enhances system development by enabling greater abstraction and broader user involvement.
  • The approach is validated through a practical case study, showing its potential for real-world IoT applications.