An approach to domain-based scalable context management architecture in pervasive environments

Jaroucheh, Zakwan; Liu, Xiaodong; Smith, Sally

doi:10.1007/s00779-011-0422-0

Cited by 14 publications

(6 citation statements)

References 15 publications

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“…Our next step is to make this framework more reliable by adding security and other features into it. [5] Scmantic SN &DBN SN &DBN P C Managcmcnt [9] Context-aware Ontology FOPL P C Middlewarc [4] …”

Section: Discussionmentioning

confidence: 99%

“…In [4], a formal ontology context model combined by FOPL is proposed. Besides, in [5], [6], [7] and [8], ontologies are all used to model contexts. Though 978-1-4673-5000-6/13/$31.00 ©2013 IEEE 475 ontology models are suitable for context-aware computing, it may not be the best choice for some portable devices, which offer limited computing resources.…”

Section: Related Workmentioning

confidence: 99%

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A novel framework of context-aware system based on space mapping

et al. 2013

2013 IEEE 4th International Conference on Software Engineering and Service Science

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As ubiquitous computing envi ronments grow faster, more and more context-aware systems ar e developed for them. For these systems, the modeling and reasoning of context is very important. This paper first proposes a concept of space mapping and then based on this concept, a simple but practical framework for context-aware system is proposed. Finally, analyses of this framework prove its advantages in efficiency, scalability and flexibility.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A novel framework of context-aware system based on space mapping

et al. 2013

2013 IEEE 4th International Conference on Software Engineering and Service Science

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“…For (i), works like [3]- [5] use the XMPP Publish-Subscribe extension in a mediated way: non-constrained devices (e.g., desktop, smartphone, netbook) act as gateways, translating sensor-specific data into XML messages, while the smart object itself is not directly connected to the XMPP network.…”

Section: B Iot-related Activitiesmentioning

confidence: 99%

Global-Scale Federated Access to Smart Objects Using XMPP

Schuster

Grubitzsch

Renzel

et al. 2014

2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and I

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Communication with smart objects currently only works in isolated, sometimes even proprietary islands. This lack of interoperability limits the value of smart objects connected to the Internet of Things (IoT). We propose to use the eXtensible Messaging and Presence Protocol (XMPP) to connect IoT islands. XMPP is inherently federated, secure, globally scalable and designed for collaboration. We use XMPP Multi-User Chat (MUC) to build a secure and accessible platform for sensor data exchange between organizations. We demonstrate a scenario of three distributed and interconnected XMPP-driven sites, whereas different client types access sensor data from all sites. Our evaluation results confirm that the architectural pattern presented in this work can easily be used in any XMPP-based system without the need to enhance or to extend the standards.

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“…• Jaroucheh at al. [7] proposed a context information dissemination framework based on privacy policies. Their application domain is a smart university where university staff and students across different universities who collaborate with each other get to keep updated about each other's current activities, status and interests and to exchange information so that they can avoid disturbing and interact more efficiently.…”

Section: Non-ontology Based Privacy Knowledge Modellingmentioning

confidence: 99%

Privacy-Knowledge Modeling for the Internet of Things: A Look Back

et al. 2016

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Internet of Things (IoT) and cloud computing together give us the ability to sense, collect, process, and analyse data so we can use them to better understand behaviours, habits, preferences and life patterns of users and lead them to consume resources more efficiently. In such knowledge discovery activities, privacy becomes a significant challenge due to the extremely personal nature of the knowledge that can be derived from the data and the potential risks involved. Therefore, understanding the privacy expectations and preferences of stakeholders is an important task in the IoT domain. In this paper, we review how privacy knowledge has been modelled and used in the past in different domains. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT. Finally, we discuss major research challenges and opportunities.

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An approach to domain-based scalable context management architecture in pervasive environments

Cited by 14 publications

References 15 publications

A novel framework of context-aware system based on space mapping

A novel framework of context-aware system based on space mapping

Global-Scale Federated Access to Smart Objects Using XMPP

Privacy-Knowledge Modeling for the Internet of Things: A Look Back

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