Opportunistic smart object aggregation based on clustering and event processing

• Published in: 2016 IEEE International Conference on Communications (ICC) pp. 1 - 6
• Main Authors: Terroso-Saenz, Fernando, Hernandez-Ramos, Jose L., Bernal Bernabe, Jorge, Skarmeta, Antonio F.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-05-2016
• Subjects: Big Data; CEP; Clustering; Context; Engines; Internet of things; IoT; Privacy; Proposals; Security; Sensors; smart object relationship
• ISSN: 1938-1883
• DOI: 10.1109/ICC.2016.7511258

In the envisioned Internet of Things ecosystems, Smart objects are intended to create groups of devices in order to provide higher level services to be leveraged by citizens. However, because of the dynamic nature of such scenarios, the discovery, management and operation of such dynamic coalitions taking into account security and privacy concerns, is a challenging task that has not been properly addressed yet. In this sense, the present proposal devises a novel approach to automatically compose opportunistic aggregations of objects (bubbles) based on Complex Event Processing (CEP) and fuzzy clustering. While the former detects certain events that could give raise to discover new bubbles, the latter allows compose aggrupations of similar objects acting as candidate bubbles. Finally, the application of the proposal in an educational domain is put forward.