Study of Resource Discovery trends in Internet of Things (IoT)

Internet of Things (IoT) ecosystem is progressing at an enormous speed with interconnection of various heterogeneous smart devices. IoT computing paradigm is different from the traditional system where the end users are well aware about the software installed on their personal devices and their serv...

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Bibliographic Details
Published in:International journal of advanced networking and applications 2016-11, Vol.8 (3), p.3084
Main Authors: Vandana, C P, Chikkamannur, Ajeet A
Format: Article
Language:English
Subjects:
Automation
Internet of Things
Metadata
Protocol
Registration
Resource Description Framework-RDF
Search engines
Semantic web
Semantics
Smoke detectors
Standardization
Wireless networks
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Summary:Internet of Things (IoT) ecosystem is progressing at an enormous speed with interconnection of various heterogeneous smart devices. IoT computing paradigm is different from the traditional system where the end users are well aware about the software installed on their personal devices and their services. However, in IoT, people may not be aware about the available resources, services and capabilities provided in an open public space. Thus there is a need for strong interaction between things and people in IoT. Automatic resource discovery forms the core functionality for configuration and maintenance of the deployed objects and integration of new devices with least human intervention. In this paper, we present the current resource discovery, service technologies in IoT and their advantages and shortcomings. A comprehensive view of the various challenges involved in resource discovery and service integration in IoT ecosystem is analyzed. The insight for future research, standardization of work is provided.
ISSN:0975-0290
0975-0282