Title :
From participatory sensing to Mobile Crowd Sensing
Author :
Bin Guo ; Zhiwen Yu ; Xingshe Zhou ; Daqing Zhang
Author_Institution :
Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi´an, China
Abstract :
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.
Keywords :
artificial intelligence; mobile computing; social networking (online); MCS paradigm; explicit participation; human intelligence; implicit participation; large-scale sensing; machine intelligence; mobile Internet techniques; mobile crowd sensing; mobile social networks; participatory sensing; user-participant data sources; Communities; Machine intelligence; Mobile communication; Mobile computing; Mobile handsets; Sensors; Social network services; Hybrid human-machine intelligence; heterogeneous/cross-space data; mobile crowd sensing; participatory sensing;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/PerComW.2014.6815273
