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Authors: Ali Yachir 1 ; Badis Djamaa 2 ; Kheireddine Zeghouani 1 ; Marwen Bellal 1 and Mohammed Boudali 1

Affiliations: 1 Artificial Intelligence Laboratory and Military Polytechnic School, Algeria ; 2 Artificial Intelligence Laboratory, Military Polytechnic School, Centre for Electronic Warfare and Cranfield University, Algeria

Keyword(s): Internet of Things, Smart Environments, CoAP, Device, Resource, Service, Smart Object, Semantic Web Technologies, CoRE Link Format, Request Resolution, Semantic Resource Discovery, Resource Directory.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Energy and Economy ; Enterprise Information Systems ; Internet of Things ; Mobile Software and Services ; Sensor Networks ; Smart Cities ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications ; Ubiquitous Wireless Services and Protocols ; Wireless Information Networks and Systems

Abstract: The Constrained Application Protocol (CoAP) is a lightweight and power-efficient Internet standard specifically designed for M2M communication in the Internet of Things (IoT). CoAP provides a set of mechanisms for IoT interactions including request/response, publish/subscribe and resource discovery. For the latter, a Resource Directory (RD) solution is proposed to register and store information about IoT resources to be queried by users. Such a solution, however, only allows syntactic discovery. In this paper, we extend CoAP with lightweight semantic-rich information by defining appropriate CoRE link format attributes describing both IoT resources and user requests. Such an extension is integrated with the RD to facilitate semantic resources discovery. Implementation and thorough evaluations of the proposed approach show important performance enhancements when compared with the default RD solution.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Yachir, A.; Djamaa, B.; Zeghouani, K.; Bellal, M. and Boudali, M. (2017). Semantic Resource Discovery with CoAP in the Internet of Things. In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - WINSYS; ISBN 978-989-758-261-5; ISSN 2184-3236, SciTePress, pages 75-82. DOI: 10.5220/0006419400750082

@conference{winsys17,
author={Ali Yachir. and Badis Djamaa. and Kheireddine Zeghouani. and Marwen Bellal. and Mohammed Boudali.},
title={Semantic Resource Discovery with CoAP in the Internet of Things},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - WINSYS},
year={2017},
pages={75-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006419400750082},
isbn={978-989-758-261-5},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017) - WINSYS
TI - Semantic Resource Discovery with CoAP in the Internet of Things
SN - 978-989-758-261-5
IS - 2184-3236
AU - Yachir, A.
AU - Djamaa, B.
AU - Zeghouani, K.
AU - Bellal, M.
AU - Boudali, M.
PY - 2017
SP - 75
EP - 82
DO - 10.5220/0006419400750082
PB - SciTePress