Service integration in the Internet of Things

Kaiyu Wan, Vangalur Alagar

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The Internet of Things (IoT) has been emerging as a global Internet-based architecture connecting humans and objects at anytime and anywhere in order to facilitate the exchange of information, products, and services. To achieve this goal the precise descriptions of the objects, resources they use, and services they provide be made available in the IoT so that humans and objects can query, discover, and exchange services in the IoT. In this paper, a framework to meet these objectives is proposed. The key features of this environment are the integration of resource knowledge and 'things' description in a class, creation of mini-configurations, loose coupling of the application management layer with IoT layer, and service generation and composition methods for 'things' and clients external to the IoT. This framework can be specialized to any application domain, such as power grid, healthcare, and critical infrastructure monitoring.

Original languageEnglish
Title of host publication2015 2nd International Conference on Computer Science, Computer Engineering, and Social Media, CSCESM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-82
Number of pages7
ISBN (Electronic)9781479917907
DOIs
Publication statusPublished - 18 Nov 2015
Event2nd International Conference on Computer Science, Computer Engineering, and Social Media, CSCESM 2015 - Lodz, Poland
Duration: 21 Sept 201523 Sept 2015

Publication series

Name2015 2nd International Conference on Computer Science, Computer Engineering, and Social Media, CSCESM 2015

Conference

Conference2nd International Conference on Computer Science, Computer Engineering, and Social Media, CSCESM 2015
Country/TerritoryPoland
CityLodz
Period21/09/1523/09/15

Keywords

  • Context
  • Contract
  • Cyber description of Things
  • Dependability
  • Mini-configuration
  • Service expression

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