Participant Selection for Large-Scale Mobile Crowdsensing Systems

Yu Wang
Professor and Senior Associate Chair of Computer Science
University of North Carolina at Charlotte
SERC 306
Thursday, September 27, 2018 - 11:00
With the rapid increase of smart phones and their embedded sensing technologies, mobile crowd sensing (MCS) becomes an emerging sensing paradigm for performing large-scale sensing tasks. One of the key challenges of large-scale MCS systems is how to effectively select appropriate participants from a huge user pool to perform diverse sensing tasks while satisfying certain constraints. This challenge becomes more complex in various real scenarios including: 1) when the sensing tasks are dynamic and heterogeneous, 2) when the capabilities of individual participants are diverse and unknown to the platform, 3) when participants are concerning of their privacy, and 4) when data collection also relies on participants’ help. In this talk, I will introduce our recent research efforts to address these challenging problems. Particularly, I will discuss our results of self-learning based participant selection algorithms, privacy-preserving participant group bidding schemes, and relay node selection methods for device-to-device based data collection.