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Simulation-Based Deployment Configuration of Smart Indoor Spaces

Shadan Golestan,Alexandr Petcovici,I. Nikolaidis,Eleni Stroulia

Published 2019 in World Forum on Internet of Things

ABSTRACT

Evaluating deployment scenarios for sensor–driven applications in indoor spaces can be a tedious and labour–intensive task. To mitigate the cost of comparatively evaluating sensor deployment configurations and alternatives required by these applications, we present an integrated methodology that enables the modeling, simulation, and evaluation of alternative candidate deployments, as well as, the fine–tuning of the corresponding sensor–driven applications. We illustrate our methodology by applying it to the task of configuring an indoor localization ambient-intelligence application. We explain how our methodology models the real–world environment and the candidate sensor deployment, simulates the occupants’ activities and the sensors’ run-time behavior, and evaluates, through a variety of metrics, the effectiveness of the application under different deployment configurations. We evaluate our methodology on two real–world localization application scenarios corresponding to two, drastically different, spaces.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    World Forum on Internet of Things

  • Publication date

    2019-04-01

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1109/WF-IoT.2019.8767206
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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