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X. Su et al., "Distribution of Semantic Reasoning on the Edge of Internet of Things," 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom), Athens, 2018, pp. 1-9. doi: 10.1109/PERCOM.2018.8444596

Distribution of semantic reasoning on the edge of Internet of Things

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Author: Su, Xiang1; Li, Pingjiang1; Riekki, Jukka1;
Organizations: 1University of Oulu, Oulu, Finland
2VTT Technical Research Centre of Finland, Oulu, Finland
3fortiss, An-Institut Technische Universität München, Munich, Germany
4University of Helsinki, Helsinki, Finland
5Beijing University of Posts and Telecommunications, Beijing, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019082024790
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2019-08-20
Description:

Abstract

Semantics associates meaning with Internet of Things (IoT) data and facilitates the development of intelligent IoT applications and services. However, the big volume of the data generated by IoT devices and resource limitations of these devices have given rise to challenges for applying semantic technologies. In this article, we present Cloud and edge based IoT architectures for semantic reasoning. We report three experiments that demonstrate how edge computing can facilitate IoT systems in terms of data transfer and semantic reasoning. We also analyze how distributing reasoning tasks between the Cloud and edge devices affects system performance.

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Series: IEEE International Conference on Pervasive Computing and Communications
ISSN: 2474-2503
ISSN-E: 2474-249X
ISSN-L: 2474-249X
ISBN: 978-1-5386-3224-6
ISBN Print: 978-1-5386-3225-3
Pages: 1 - 9
DOI: 10.1109/PERCOM.2018.8444596
OADOI: https://oadoi.org/10.1109/PERCOM.2018.8444596
Host publication: 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Conference: IEEE International Conference on Pervasive Computing and Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Article
Funding: The first author would like to thank Jorma Ollila Grant for funding this research.
Copyright information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.