IEEE Access (Jan 2020)

Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things

  • Jorge Eduardo Ibarra-Esquer,
  • Felix Fernando Gonzalez-Navarro,
  • J. Salvador Sanchez,
  • Brenda Leticia Flores-Rios,
  • Maria Angelica Astorga-Vargas,
  • Maria Luisa Gonzalez-Ramirez

DOI
https://doi.org/10.1109/ACCESS.2020.2969698
Journal volume & issue
Vol. 8
pp. 22366 – 22377

Abstract

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Things are the core of the Internet of Things (IoT) and must be properly characterized according to the different functions they accomplish. Identifying their capabilities and combining them as sets provides a view on the single or joint properties of existing things and guide in properly designing and building new things while maximizing their potential benefits within an IoT system or application. Building on five essential but independent capabilities of things (Identification, Localization, Sensing, Actuation, and Processing), four categories or groups of things are defined. These groups comprise a particular view of the diversity of objects found in the IoT, as trackable, data, interactive, or smart objects. In this paper, a description of the aforementioned capabilities is presented, stating how each of the groups of objects includes them. Then, given that data are the most important assets for both organizations and individuals a further description of the data objects group is made, proposing a graphical categorization framework that thoroughly describes and measures the level in which each of these capabilities is contained and how it contributes to the performance and data properties of any data object.

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