Results 201 to 210 of about 1,718 (250)
Comprehensive analysis of security threats and privacy issues in indoor localization systems. [PDF]
Sci RepAyub A +6 more
europepmc +1 more source
Developing real-time IoT-based public safety alert and emergency response systems. [PDF]
Sci RepZhang H, Zhang R, Sun J.
europepmc +1 more source
A secure and efficient user selection scheme in vehicular crowdsensing. [PDF]
Sci RepZhang M, Ye Q, Yuan Z, Deng K.
europepmc +1 more source
A BIM-GIS Framework Integrated with CCTV Analytics for Urban Walkability Assessment. [PDF]
Sensors (Basel)Wang M, Wong PK, Cheng JCP.
europepmc +1 more source
A Survey on Secure WiFi Sensing Technology: Attacks and Defenses. [PDF]
Sensors (Basel)Liu X, Meng X, Duan H, Hu Z, Wang M.
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IEEE Communications Magazine, 2014
With the rapid proliferation of sensor-rich smartphones, mobile crowd sensing has become a popular research field. In this article, we propose a four-stage life cycle (i.e., task creation, task assignment, individual task execution, and crowd data integration) to characterize the mobile crowd sensing process, and use 4W1H (i.e., what, when, where, who,
Daqing Zhang, Leye Wang, Haoyi Xiong
exaly +2 more sources
With the rapid proliferation of sensor-rich smartphones, mobile crowd sensing has become a popular research field. In this article, we propose a four-stage life cycle (i.e., task creation, task assignment, individual task execution, and crowd data integration) to characterize the mobile crowd sensing process, and use 4W1H (i.e., what, when, where, who,
Daqing Zhang, Leye Wang, Haoyi Xiong
exaly +2 more sources
Incentives for Mobile Crowd Sensing: A Survey
IEEE Communications Surveys and Tutorials, 2016Recent years have witnessed the fast proliferation of mobile devices (e.g., smartphones and wearable devices) in people's lives. In addition, these devices possess powerful computation and communication capabilities and are equipped with various built-in functional sensors.
Xinglin Zhang, Zheng Yang, Yunhao Liu
exaly +3 more sources
Opportunities in mobile crowd sensing
IEEE Communications Magazine, 2014Mobile crowd sensing is a new paradigm that takes advantage of pervasive mobile devices to efficiently collect data, enabling numerous largescale applications. Human involvement is one of the most important features, and human mobility offers unprecedented opportunities for both sensing coverage and data transmission.
Huadong Ma, Dong Zhao, Peiyan Yuan
exaly +2 more sources
Mobile Crowd Sensing and Computing
ACM Computing Surveys, 2015With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and large-scale sensing. MCSC extends the vision of participatory sensing by leveraging both participatory sensory data from mobile devices (offline) and user ...
Bin Guo, Zhu Wang, Zhiwen Yu
exaly +2 more sources