TY - GEN
T1 - Mobile Crowd Sensing for Internet of Things
T2 - 1st IEEE International Conference on Multimedia Big Data, BigMM 2015
AU - Jian, An
AU - Xiaolin, Gui
AU - Jianwei, Yang
AU - Yu, Sun
AU - Xin, He
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/9
Y1 - 2015/7/9
N2 - Various types of micro-sensors in smart communication devices can measure a significant amount of potentially useful information. Mobile Crowd Sensing (MCS) between users with smart mobile devices is a new trend of development in Internet of Things. With the powerful sensing capability of smart device and user mobility, various services could be provided by building a trusted chain between service requesters and suppliers. In this paper, we first analyze and summarize the current status of the MCS technology, and a novel credible crowd sourcing service model is proposed based on MCS according to mobility, sociality and complexity of mobile users. Then, some key technologies of model are given in details. Finally, we give the focus of future research work.
AB - Various types of micro-sensors in smart communication devices can measure a significant amount of potentially useful information. Mobile Crowd Sensing (MCS) between users with smart mobile devices is a new trend of development in Internet of Things. With the powerful sensing capability of smart device and user mobility, various services could be provided by building a trusted chain between service requesters and suppliers. In this paper, we first analyze and summarize the current status of the MCS technology, and a novel credible crowd sourcing service model is proposed based on MCS according to mobility, sociality and complexity of mobile users. Then, some key technologies of model are given in details. Finally, we give the focus of future research work.
KW - Credible interaction
KW - Crowdsourcing service model
KW - Internet of Things
KW - Mobile crowd sensing
UR - https://www.scopus.com/pages/publications/84941200549
U2 - 10.1109/BigMM.2015.62
DO - 10.1109/BigMM.2015.62
M3 - 会议稿件
AN - SCOPUS:84941200549
T3 - Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015
SP - 92
EP - 99
BT - Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 April 2015 through 22 April 2015
ER -