DeltaIoT: A Self-Adaptive Internet of Things Exemplar

Iftikhar, Muhammad Usman, , Bollansée, Pablo, Weyns, Danny, & Hughes, Danny (2017) DeltaIoT: A Self-Adaptive Internet of Things Exemplar. In Proceedings of the 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 76-82.

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Description

Internet of Things (IoT) consists of networked tiny embedded computers (motes) that are capable of monitoring and controlling the physical world. Examples range from building security monitoring to smart factories. A central problem of IoT is minimising the energy consumption of the motes, while 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 or inefficiencies. Enhancing the IoT network with self-adaptation can automate these tasks. This paper presents DeltaIoT, an exemplar that enables researchers to evaluate and compare new methods, techniques and tools for self-adaptation in IoT. DeltaIoT is the first exemplar for research on self-adaptation that provides both a simulator for offline experimentation and a physical setup that can be accessed remotely for real-world experimentation.

Impact and interest:

60 citations in Scopus
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ID Code: 209253
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Ramachandran, Gowri Sankarorcid.org/0000-0001-5944-1335
Measurements or Duration: 7 pages
Keywords: Exemplar, Internet of Things, Self-adaptation
DOI: 10.1109/SEAMS.2017.21
ISBN: 9781538615515
Pure ID: 76721608
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 29 Mar 2021 00:17
Last Modified: 14 Jul 2024 18:47