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Semantic-driven configuration of Internet of Things middleware
conference contribution
posted on 2013-01-01, 00:00 authored by C Perera, Arkady ZaslavskyArkady Zaslavsky, M Compton, P Christen, D GeorgakopoulosWe are currently observing emerging solutions to enable the Internet of Things (IoT). Efficient and feature rich IoT middeware platforms are key enablers for IoT. However, due to complexity, most of these middleware platforms are designed to be used by IT experts. In this paper, we propose a semantics-driven model that allows non-IT experts (e.g. plant scientist, city planner) to configure IoT middleware components easier and faster. Such tools allow them to retrieve the data they want without knowing the underlying technical details of the sensors and the data processing components. We propose a Context Aware Sensor Configuration Model (CASCoM) to address the challenge of automated context-aware configuration of filtering, fusion, and reasoning mechanisms in IoT middleware according to the problems at hand. We incorporate semantic technologies in solving the above challenges. We demonstrate the feasibility and the scalability of our approach through a prototype implementation based on an IoT middleware called Global Sensor Networks (GSN), though our model can be generalized into any other middleware platform. We evaluate CASCoM in agriculture domain and measure both performance in terms of usability and computational complexity.
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Event
Semantics, Knowledge and Grids. International Conference (9th : 2013 : Beijing, China)Series
Semantics, Knowledge and Grids International ConferencePagination
66 - 73Publisher
Institute of Electrical and Electronics EngineersLocation
Beijing, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-10-03End date
2013-10-04ISBN-13
9781479930128Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
SKG 2013 : Proceedings of the 2013 Ninth International Conference on Semantics, Knowledge and GridsUsage metrics
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