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Towards a Simulation Framework for Smart Indoor Spaces.

Shadan Golestan1, Ioanis Nikolaidis1, Eleni Stroulia1

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Evaluating sensor configurations for smart homes requires a new simulation method. Our SIMsis toolkit models indoor spaces, occupant activities, and sensor behaviors, generating realistic data for developing effective smart building applications.

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Area of Science:

  • Computer Science
  • Ubiquitous Computing
  • Human-Computer Interaction

Background:

  • Sensor-based applications in smart homes and buildings rely heavily on effective sensor deployment configurations.
  • Real-world testing of these configurations is resource-intensive, hindering development and optimization.

Purpose of the Study:

  • To introduce a simulation-based methodology for evaluating sensor deployment configurations in smart indoor environments.
  • To develop a toolkit, SIMsis, capable of modeling indoor spaces, occupant activities, and sensor behaviors.

Main Methods:

  • Developed the SIMsis toolkit to simulate indoor environments, occupant activities, and diverse sensor behaviors.
  • Focused on generating realistic, time-series event streams for individual sensors and aggregated sensor event compositions.
  • Validated the simulator within the Smart-Condo ambient-assisted living platform for analyzing activities of daily living (ADLs).

Main Results:

  • SIMsis demonstrated the capability to produce realistic agent traces and sensor readings.
  • The simulation approach effectively models complex interactions within smart indoor spaces.
  • The toolkit's output aligns with the requirements for evaluating sensor deployment strategies.

Conclusions:

  • The SIMsis toolkit provides a viable, resource-efficient alternative to real-world testing for sensor deployment evaluation.
  • This simulation methodology supports the development and deployment of more effective sensor-based applications for smart homes and buildings.
  • The toolkit shows significant potential for advancing ambient-assisted living platforms and similar smart environments.