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


Affiliations
1 Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India
2 Department of Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapur, India
 

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.

Keywords

COAP, IoT, Resource Discovery, Services, Semantics.
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  • Study of Resource Discovery trends in Internet of Things (IoT)

Abstract Views: 230  |  PDF Views: 0

Authors

C. P. Vandana
Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India
Ajeet A. Chikkamannur
Department of Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapur, India

Abstract


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.

Keywords


COAP, IoT, Resource Discovery, Services, Semantics.