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Pervasive and Mobile Computing
Special Issue on Mobile Crowdsourcing and Pervasive Computing for Smart Cities
Submission Deadline: April 15, 2018
With the rapid development of metropolitan areas, urban problems, such as environment pollution, traffic congestion and increased energy consumption, increase more and more.
Smart cities are emerging as a novel and promising paradigm to tackle existing problems and avoid potential issues in our cities. Recently, with the pervasive usage of intelligent equipment – e.g., GPS devices, GIS tools, traffic cameras, smart cards, smartphones and road deceleration devices --, Mobile Crowdsourcing (MCS) enables citizens to collect and share data to make our cities smart. MCS can be applied in several urban scenarios, including traffic planning, mobile social recommendation, public safety, and so on.
Meanwhile, pervasive computing has been widely used to develop smart cities by utilizing emerging computing technologies. However, several challenges still exist for an effective use of MCS and pervasive computing technologies in smart cities. Research challenges include (but are not limited to): (1) How to build a MCS architecture to sense urban pulse and investigate the spatio-temporal mobility patterns comprehensively? (2) How to compute
and analyze urban big data generated by large amount of participants/devices? (3) How to fuse multi-sourced and heterogeneous data to facilitate applications towards smart cities?
To address these challenges and find effective solutions for smart cities, this special issue focuses on mobile crowdsourcing and pervasive computing research challenges in urban scenarios. Specifically, researchers are encouraged to present their latest achievements, and research directions in this area.
Topics of interest include, but are not limited to:
Mobile crowdsourcing technology for smart cities
Crowdsourcing systems and services for smart cities
Application of pervasive and mobile computing technology for smart cities
Fault tolerance, reliability and survivability in smart cities
Vehicular social networks in smart cities
Network communications technology for smart cities
Data mining and analytics of urban big data
Safety, security, privacy and trust in applications and services for smart cities
Human mobility models for smart cities
Multi-sourced heterogeneous data acquisition and fusion for smart cities
Case studies and testbeds.
 Azizur Rahim, Xiangjie Kong, Feng Xia, Zhaolong Ning, Noor Ullah, Jinzhong Wang, Sajal K. Das. Vehicular Social Networks: A Survey, Pervasive and Mobile Computing, 43, Jan 2018, pp: 96-113. DOI: 10.1016/j.pmcj.2017.12.004
 Zhaolong Ning, Feng Xia, Noor Ullah, Xiangjie Kong, and Xiping Hu. Vehicular Social Networks: Enabling Smart Mobility, IEEE Communications Magazine, May 2017. DOI: 10.1109/MCOM.2017.1600263
Guest Editors of the Special Issue:
Xiangjie Kong (孔祥杰), PhD, Associate Professor
IEEE/CCF Senior Member, ACM Member