Title :
Mobile Crowd Sensing for Internet of Things: A Credible Crowdsourcing Model in Mobile-Sense Service
Author :
An Jian ; Gui Xiaolin ; Yang Jianwei ; Sun Yu ; He Xin
Author_Institution :
Sch. of Electron. & Inf., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
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.
Keywords :
Internet of Things; microsensors; mobile computing; Internet of things; MCS technology; credible crowdsourcing service model; microsensors; mobile crowd sensing; mobile-sense service; smart communication devices; smart mobile devices; user mobility; Analytical models; Communities; Crowdsourcing; Mobile nodes; Sensors; Credible interaction; Crowdsourcing service model; Internet of Things; Mobile crowd sensing;
Conference_Titel :
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-8687-3
DOI :
10.1109/BigMM.2015.62
