Retrieving monitoring and accounting information from constrained devices in internet-of-things applications

Authors:
Oleksiy Mazhelis;Martin Waldburger;Guilherme Sperb Machado;Burkhard Stiller;Pasi Tyrväinen
Affiliations:
Department of Computer Science and Information Systems, University of Jyväskylä, Jyväskylä, Finland;Department of Informatics (IFI), Communications Systems Group (CSG), University of Zürich, Zürich, Switzerland;Department of Informatics (IFI), Communications Systems Group (CSG), University of Zürich, Zürich, Switzerland;Department of Informatics (IFI), Communications Systems Group (CSG), University of Zürich, Zürich, Switzerland;Department of Computer Science and Information Systems, University of Jyväskylä, Jyväskylä, Finland
Venue:
AIMS'13 Proceedings of the 7th IFIP WG 6.6 international conference on Autonomous Infrastructure, Management, and Security: emerging management mechanisms for the future internet - Volume 7943
Year:
2013

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Abstract

Internet-of-Things (IoT) is envisioned to provide connectivity to a vast number of sensing or actuating devices with limited computational and communication capabilities. For the organizations that manage these constrained devices, the monitoring of each device's operational status and performance level as well as the accounting of their resource usage are of great importance. However, monitoring and accounting support is lacking in today's IoT platforms. Hence, this paper studies the applicability of the Constrained Application Protocol (CoAP), a lightweight transfer protocol under development by IETF, for efficiently retrieving monitoring and accounting data from constrained devices. On the infrastructure side, the developed prototype relies on using standard building blocks offered by the AMAAIS project in order to collect, pre-process, distribute, and persistently store monitoring and accounting information. Necessary on-device and infrastructure components are prototypically implemented and empirically evaluated in a realistic simulation environment. Experiment results indicate that CoAP is suited for efficiently transferring monitoring and accounting data, both due to a small energy footprint and a memory-wise compact implementation.