TY - JOUR
T1 - Multidimensional context-aware social network architecture for mobile crowdsensing
AU - Hu, Xiping
AU - Li, Xitong
AU - Ngai, Edith C.H.
AU - Leung, Victor C.M.
AU - Kruchten, Philippe
PY - 2014/6
Y1 - 2014/6
N2 - This 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.
AB - This 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.
UR - http://www.scopus.com/inward/record.url?scp=84903167722&partnerID=8YFLogxK
U2 - 10.1109/MCOM.2014.6829948
DO - 10.1109/MCOM.2014.6829948
M3 - Article
AN - SCOPUS:84903167722
SN - 0163-6804
VL - 52
SP - 78
EP - 87
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 6
M1 - 6829948
ER -
