Effective incentive mechanisms are invaluable in mobile crowd sensing, for stimulating
participation of smartphone users. Online auction mechanisms represent a natural solution …

Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …

Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for
urban sensing, leveraging the spatial and temporal correlation among data sensed in …

In mobile crowdsourcing, the accuracy of the collected data is usually hard to ensure.
Researchers have proposed techniques to identify truth from noisy data by inferring and …

In a vertical industry alliance, Internet of Things (IoT) deployed in different smart factories are
similar. For example, most automobile manufacturers have the similar assembly lines and …

The compressive sensing (CS) based data collection schemes can effectively reduce the
transmission cost of wireless sensor networks (WSNs) by exploring the sparsity of …

The past few years have witnessed the dramatic popularity of large-scale social networks
where malicious nodes detection is one of the fundamental problems. Most existing works …

Because of the strict energy limitation and the common vulnerability of Wireless Sensor
Networks (WSNs), providing efficient and secure data gathering in WSNs becomes an …

The low-tubal-rank tensor model has been recently proposed for real-world
multidimensional data. In this paper, we study the low-tubal-rank tensor completion problem …

Pricing and task allocation are vital to improving the efficiency in mobile crowdsensing, an
emerging human-in-the-loop application paradigm. Previous studies focused on incentive …