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DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact)

Authors: M. Usman Iftikhar, Gowri Sankar Ramachandran, Pablo Bollansée, Danny Weyns, and Danny Hughes

Published in: DARTS, Volume 3, Issue 1, Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017)

Abstract

The DeltaIoT exemplar enables researchers to evaluate and compare new methods, techniques and tools for self-adaptation in Internet of Things (IoT). The exemplar applies multi-hop communication, where each IoT mote must have a path towards the gateway along other motes. Our motes use LoRa radio technology supporting long range communication. The focus is on dynamically adapting the network settings of the IoT motes (e.g., transmission power and spreading factor) to reduce the energy consumption of the motes and guaranteeing high packet delivery performance, regardless of uncertainties such as sudden changes in traffic load and communication interference. Traditionally, to deal with uncertainties the network settings are either hand-tuned or over-provisioned, resulting in continuous network maintenance. Self-adaptation can automate these tasks. The exemplar provides several reference scenarios for experimentation. DeltaIoT comprises a simulator for offline experimentation and a physical setup of 25 motes that can be accessed remotely for experimentation in the field. This IoT system is deployed at the Computer Science Department Campus of KU Leuven.

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M. Usman Iftikhar, Gowri Sankar Ramachandran, Pablo Bollansée, Danny Weyns, and Danny Hughes. DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact). In Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 1, pp. 4:1-4:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{iftikhar_et_al:DARTS.3.1.4,
  author =	{Iftikhar, M. Usman and Ramachandran, Gowri Sankar and Bollansée, Pablo and Weyns, Danny and Hughes, Danny},
  title =	{{DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact)}},
  pages =	{4:1--4:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{1},
  editor =	{Iftikhar, M. Usman and Ramachandran, Gowri Sankar and Bollansée, Pablo and Weyns, Danny and Hughes, Danny},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.3.1.4},
  URN =		{urn:nbn:de:0030-drops-71425},
  doi =		{10.4230/DARTS.3.1.4},
  annote =	{Keywords: Internet-of-Things; self-adaptation; exemplar}
}

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DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact)

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