Overview: Elaborates the basic workflow for sensing-data-based urban crowdsensing.Addresses fundamental issues in crowdsensing data, including data collection, data transfer, and data application.Discusses futu.Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor’s degree and Ph.D. from Nanjing Institute of Communication Engineering, China, in 2009 and 2014, respectively. He subsequently studied at the University of Michigan-Ann Arbor in 2017 (supervised by Prof. Kang G. Shin, IEEE Life Fellow, ACM Fellow). His resear
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