A Carrier Class IoT Service Architecture Integrating IMS with SWE

Integrating the sensing capabilities of wireless sensor network (WSN) into the traditional telecom network is an important stage to realize future ubiquitous intelligence in the Internet of Things. Driven by the vision of service oriented architecture (SOA), this paper proposed a carrier class Inter...

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Main Authors: Dongliang Xie, Chao Shang, Jinchao Chen, Yongfang Lai, Chuanxiao Pang
Format: Article
Language:English
Published: SAGE Publishing 2014-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/930472
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spelling doaj-aad0cfa16102446f847d9bf409953ba12020-11-25T03:43:39ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-05-011010.1155/2014/930472930472A Carrier Class IoT Service Architecture Integrating IMS with SWEDongliang XieChao ShangJinchao ChenYongfang LaiChuanxiao PangIntegrating the sensing capabilities of wireless sensor network (WSN) into the traditional telecom network is an important stage to realize future ubiquitous intelligence in the Internet of Things. Driven by the vision of service oriented architecture (SOA), this paper proposed a carrier class Internet of Things (IoT) service architecture named as MUSE. MUSE integrates WSN with IMS OSE framework to enable the WSN services to be operable and manageable. Also sensor web enablement (SWE) framework is adopted to shield the heterogeneity of different WSNs. MUSE consists of two key entities—MUSE Enabler and MUSE Gateway. On the one hand, the architecture promotes the node manageability and enriches the diversity of high level task planning flexibility. On the other hand, the architecture extends the telecom context-aware service and realizes service operability and network scalability. Moreover, the key components of the architecture and the detailed service procedure were introduced in the paper. Besides, an intelligent building prototype with 20 nodes was illustrated and the feasibility and performance of MUSE were verified at last.https://doi.org/10.1155/2014/930472
collection DOAJ
language English
format Article
sources DOAJ
author Dongliang Xie
Chao Shang
Jinchao Chen
Yongfang Lai
Chuanxiao Pang
spellingShingle Dongliang Xie
Chao Shang
Jinchao Chen
Yongfang Lai
Chuanxiao Pang
A Carrier Class IoT Service Architecture Integrating IMS with SWE
International Journal of Distributed Sensor Networks
author_facet Dongliang Xie
Chao Shang
Jinchao Chen
Yongfang Lai
Chuanxiao Pang
author_sort Dongliang Xie
title A Carrier Class IoT Service Architecture Integrating IMS with SWE
title_short A Carrier Class IoT Service Architecture Integrating IMS with SWE
title_full A Carrier Class IoT Service Architecture Integrating IMS with SWE
title_fullStr A Carrier Class IoT Service Architecture Integrating IMS with SWE
title_full_unstemmed A Carrier Class IoT Service Architecture Integrating IMS with SWE
title_sort carrier class iot service architecture integrating ims with swe
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2014-05-01
description Integrating the sensing capabilities of wireless sensor network (WSN) into the traditional telecom network is an important stage to realize future ubiquitous intelligence in the Internet of Things. Driven by the vision of service oriented architecture (SOA), this paper proposed a carrier class Internet of Things (IoT) service architecture named as MUSE. MUSE integrates WSN with IMS OSE framework to enable the WSN services to be operable and manageable. Also sensor web enablement (SWE) framework is adopted to shield the heterogeneity of different WSNs. MUSE consists of two key entities—MUSE Enabler and MUSE Gateway. On the one hand, the architecture promotes the node manageability and enriches the diversity of high level task planning flexibility. On the other hand, the architecture extends the telecom context-aware service and realizes service operability and network scalability. Moreover, the key components of the architecture and the detailed service procedure were introduced in the paper. Besides, an intelligent building prototype with 20 nodes was illustrated and the feasibility and performance of MUSE were verified at last.
url https://doi.org/10.1155/2014/930472
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