Mobile crowd sensing: Part 2 [Guest Editorial]

Abstract

Mobile crowd sensing (MCS) presents a new sensing paradigm that empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g., smartphones, wearable devices, smart vehicles), and aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery. MCS benefits a number of application areas regarding urban/community dynamics monitoring, environment monitoring, traffic planning, public safety, and beyond. At the same time, numerous and unique research challenges, such as participatory data collection, optimal sensing node selection, proper incentive mechanisms, transient network communication, data quality/trust maintenance, cross-space data processing, and so on, arise from the MCS paradigm.