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Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules.

Paolo Barsocchi1, Antonello Calabrò2, Erina Ferro3

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Summary

This study introduces a low-cost, user-friendly Smart Home infrastructure using off-the-shelf sensors. It simplifies resource management and enhances resident living and security without complex user modeling.

Keywords:
complex event processingmachine learningmonitoringsmart environmentwireless sensor networks

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Area of Science:

  • Computer Science
  • Ubiquitous Computing
  • Human-Computer Interaction

Background:

  • Smart Home technology offers flexible integration into daily life via pervasive sensing.
  • Current Smart Home infrastructures are often costly, difficult to install, and not user-centric.
  • Existing systems require complex user modeling for resource management and access control.

Purpose of the Study:

  • To propose a novel, low-cost, and easily installable Smart Home infrastructure.
  • To develop a user-friendly system for dynamic and flexible runtime resource management.
  • To decouple control rule levels for simplified updates, reduced maintenance, and improved user experience.

Main Methods:

  • Utilized off-the-shelf sensors and technologies for seamless information exchange.
  • Implemented a system architecture that decouples different levels of control rules.
  • Focused on runtime resource management without requiring users to develop complex models.

Main Results:

  • Demonstrated a low-cost, flexible, and user-friendly Smart Home infrastructure.
  • Successfully managed runtime resources by decoupling control rule levels.
  • Validated the proposed infrastructure through a case study, showing improved living and security.

Conclusions:

  • The proposed infrastructure offers a practical solution for enhancing Smart Home usability and cost-effectiveness.
  • Decoupling control rules simplifies system maintenance and facilitates continuous improvement.
  • The system enhances residents' living experience and security through intelligent resource management.