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Article: Multidimensional context-aware social network architecture for mobile crowdsensing

TitleMultidimensional context-aware social network architecture for mobile crowdsensing
Authors
Issue Date2014
Citation
IEEE Communications Magazine, 2014, v. 52, n. 6, p. 78-87 How to Cite?
AbstractThis article proposes a multidimensional context-aware social network architecture, which aims to provide a mobile ecosystem to enable context awareness in the development and utilization of mobile crowdsensing applications. This mobile ecosystem is constructed to provide context awareness capabilities for different roles (i.e., users or developers) in the system and facilitate interactions between them. This system can ease the development of context-aware mobile applications, and enable context-aware mobile crowdsensing considering environmental, personal, and social information. We present a flow of context-aware solutions designed on this system, and highlight the orchestrations and advantages of different context-aware schemes in the system for different types of users (requesters and participants) in mobile crowdsensing. We demonstrate the feasibility of the proposed mobile ecosystem by presenting a novel contextaware mobile crowdsensing application called Smart City, and evaluate the system performance based on this application. © 1979-2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/281500
ISSN
2023 Impact Factor: 8.3
2023 SCImago Journal Rankings: 5.631
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHu, Xiping-
dc.contributor.authorLi, Xitong-
dc.contributor.authorNgai, Edith C.H.-
dc.contributor.authorLeung, Victor C.M.-
dc.contributor.authorKruchten, Philippe-
dc.date.accessioned2020-03-13T10:38:01Z-
dc.date.available2020-03-13T10:38:01Z-
dc.date.issued2014-
dc.identifier.citationIEEE Communications Magazine, 2014, v. 52, n. 6, p. 78-87-
dc.identifier.issn0163-6804-
dc.identifier.urihttp://hdl.handle.net/10722/281500-
dc.description.abstractThis article proposes a multidimensional context-aware social network architecture, which aims to provide a mobile ecosystem to enable context awareness in the development and utilization of mobile crowdsensing applications. This mobile ecosystem is constructed to provide context awareness capabilities for different roles (i.e., users or developers) in the system and facilitate interactions between them. This system can ease the development of context-aware mobile applications, and enable context-aware mobile crowdsensing considering environmental, personal, and social information. We present a flow of context-aware solutions designed on this system, and highlight the orchestrations and advantages of different context-aware schemes in the system for different types of users (requesters and participants) in mobile crowdsensing. We demonstrate the feasibility of the proposed mobile ecosystem by presenting a novel contextaware mobile crowdsensing application called Smart City, and evaluate the system performance based on this application. © 1979-2012 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Communications Magazine-
dc.titleMultidimensional context-aware social network architecture for mobile crowdsensing-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/MCOM.2014.6829948-
dc.identifier.scopuseid_2-s2.0-84903167722-
dc.identifier.volume52-
dc.identifier.issue6-
dc.identifier.spage78-
dc.identifier.epage87-
dc.identifier.isiWOS:000338032800011-
dc.identifier.issnl0163-6804-

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