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Stacon: Self-Stabilizing Context Neighborhood for Mobile IoT Devices

Chenguang Liu,Jie Hua,Changyong Hu,C. Julien

Published 2019 in 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

ABSTRACT

Retrieving context information from on-board sensors is critical to many scenarios in the Internet of Things (IoT). The battery capacity and physical size of smart devices can restrict the on-board sensors that can be supported and thereby limit the potential of applications for multi-agent IoT systems. In this work, we propose a novel scheme for building a context neighborhood among nearby devices through infrastructure-less collaboration. A context neighborhood is an ad hoc grouping of sensing devices that can collaborate to sense physical attributes of the environment. In this way, not every device needs to directly sense every context attribute to be able to leverage the information in its applications. Our approach entails a distributed algorithm that dynamically adjusts a device's sensing and sharing strategy based on the heterogeneity of resources in the proximity. We develop a prototype system using off-the-shelf IoT sensor kits; our demonstration exploits the self-stabilization feature to show the benefits this system could bring to higher-layer applications.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

  • Publication date

    2019-03-11

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.1109/PERCOMW.2019.8730667
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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