When Crowdsourcing Meets Unmanned Vehicles: Toward Cost-Effective Collaborative Urban Sensing via Deep Reinforcement Learning
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DOI: 10.1109/jiot.2021.3062569
Abstract: Mobile crowdsensing (MCS) and unmanned vehicle sensing (UVS) provide two complementary paradigms for large-scale urban sensing. Generally, MCS has a lower cost but often confronts sensing imbalance and even blind areas due to the limitation… read more here.
Keywords: effective collaborative; urban sensing; reinforcement learning; cost effective ... See more keywords