报告题目：Cost-Effective Crowd Sensing and Computing in Smart Cities

报  告  人：王江涛（英国兰卡斯特大学助理教授）

报告时间：2019年12月9日（星期一）14:00~15:30

报告地点：学院第三会议室

报告摘要: Crowd Sensing and Computing (CSC) is a new computing paradigm in smart cities, where a large group of individuals having mobile devices collectively share data and extract information or knowledge. CSC is cheaper than traditional infrastructure-based urban sensing and computing approaches, but it is still very EXPENSIVE in large-scale sensing tasks, and its cost ranges from direct ones such as incentive payment and task/app development cost, to other indirect ones such as energy consumption and privacy risk. On the other hand, the organizers of CSC tasks expect that the sensing quality/outcome to be as GOOD as possible (e.g., maximize spatial-temporal coverage, or minimize mean sensing error). Thus, how to balance the COST and QUALITY becomes a fundamental research challenge in CSC. In this talk, I will introduce the relevant techniques to tackle this challenge from three perspectives: task creation, task assignment, and data integration. Finally, I will present my visions on future research by combining both CSC and AI in the public health monitoring.   

邀请人：鲁剑锋