S-COAP: Semantic Enrichment of COAP for Resource Discovery

Internet of Things (IoT) paradigm is progressing at an enormous rate creating an expansive ecosystem of interconnected smart devices which needs to be controlled and managed by end applications or users. So, the solution is to discover the best device matching the user requirement in timely manner....

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Bibliographic Details
Published in:SN computer science 2020-03, Vol.1 (2), p.88, Article 88
Main Authors: Vandana, C. P., Chikkamannur, Ajeet A.
Format: Article
Language:English
Subjects:
Advances in Computational Intelligence
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Enrichment
Format
Information Systems and Communication Service
Internet of Things
Machine learning
Metadata
Ontology
Original Research
Paradigms and Applications
Pattern Recognition and Graphics
Protocol
Registration
Semantic web
Semantics
Sensors
Smart cities
Software
Software Engineering/Programming and Operating Systems
Topology
User requirements
Vision
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Description
Summary:Internet of Things (IoT) paradigm is progressing at an enormous rate creating an expansive ecosystem of interconnected smart devices which needs to be controlled and managed by end applications or users. So, the solution is to discover the best device matching the user requirement in timely manner. Ensuring efficient and context aware resource discovery is a challenge in seamless operation of IoT applications. Semantic Intelligence can be built for resource discovery. In this paper, we propose semantic enrichment of COAP protocol to discover the resources. Resources are semantically modelled, and COAP protocol CORE Link format is modified to incorporate semantic information. Also, we have proposed a framework which is aware of the social relationship between the devices to accommodate distributed topologies. We conducted the experiments in COOJA simulator on CONTIKI OS with COAP protocol semantically enriched. COAP CORE Link format and Resource Directory were semantically enriched, and its effectiveness was measured.
ISSN:2662-995X
2661-8907
DOI:10.1007/s42979-020-0104-y