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Title: Classifying Smart Objects using capabilities
Authors: Pérez Hernández, Marco E.
Reiff-Marganiec, Stephan
First Published: 5-Nov-2014
Presented at: 2014 International Conference on Smart Computing (SMARTCOMP), Hong Kong
Start Date: 3-Nov-2014
End Date: 5-Nov-2014
Publisher: IEEE
Abstract: The Internet Of Things has emerged, providing an umbrella for the increasing number of heterogeneous Smart Objects that are becoming part of our daily activities. In this scenario, classification approaches are useful to understand differences and identify opportunities of generalization and common solutions, especially when different disciplines are coming together and bringing their individual terms and concepts. We propose a novel model for classifying Smart Objects using capabilities. This five-level model, inspired in the Capability Maturity Models, aims to be simple and inclusive, separating objects with basic capabilities from those with complex ones. In addition, examples of objects for each level are provided as validation of the proposal. The model is useful to identify requirements that Smart Objects have to cover externally as they cannot themselves support them and thus it allows for clear understanding of the external support system (or Middleware) into which the smart object is embedded.
DOI Link: 10.1109/SMARTCOMP.2014.7043873
ISBN: 978-1-4799-5710-1
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Archived with reference to SHERPA/RoMEO and publisher website. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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