Mobile Crowdsensing in Ubiquitous Cloud Environment

The overall aim of the project is to develop a new methodology and techniques for scalable mobile crowdsensing. We aim at solving the challenges of running mobile crowdsensing applications in ubiquitous cloud environment, including energy-efficient task partitioning, distributed data management, and just-in-time service migration in mobility scenarios, providing a framework for diagnostic and analysis across application domains, and developing solutions that utilize the result of data analysis for optimizing the performance and energy-efficiency of mobile devices, services and networks.