Automated Ontology-Driven Management of Heterogeneous Devices in the IoT

Tracking #: 2080-3293

This paper is currently under review
Authors: 
Kristina Sahlmann
Thomas Scheffler
Thomas Schwotzer
Bettina Schnor

Responsible editor: 
Guest Editors Sensors Observations 2018

Submission type: 
Full Paper
Abstract: 
An IoT network may consist of hundreds heterogeneous devices. Some of them may be constrained in terms of memory, energy, processing and network capacity. Manual network management and configuration of IoT devices is a challenging task. We propose the usage of an ontology for the description of an IoT device enabling automatized network management as well as automatized capabilities discovery and aggregation. Our IoT architecture approach ensures interoperability since the implementation can be done using existing standards, i.e. MQTT and the NETCONF protocol as well as Semantic Web technologies. We herein introduce virtual devices based on semantic descriptions which are deployed at the edge of the IoT network. As a result, virtual devices are enabled to aggregate capabilities of IoT devices, derive new capabilities by inference and delegate requests and responses. For this purpose, we propose ontology extensions and evaluate them. We validate our proposed architecture by implementing a virtual device on a Raspberry Pi.
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Under Review