Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach
IEEE Journal on Selected Areas in Communications(2019)
摘要
High-quality data collection is crucial for mobile crowd sensing (MCS) with various applications like smart cities and emergency rescues, where various unmanned mobile terminals (MTs), e.g., driverless cars and unmanned aerial vehicles (UAVs), are equipped with different sensors that aid to collect data. However, they are limited with fixed carrying capacity, and thus, MT's energy resource and sen...
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关键词
Sensors,Task analysis,Data collection,Autonomous automobiles,Navigation,Reinforcement learning,Smart phones
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