Đang chuẩn bị liên kết để tải về tài liệu:
Exploiting deep reinforcement learning for coverage maximization and cost minimization in air quality monitoring systems

Air-quality monitoring is highly desired in modern life, where environmental problems have become more serious. Such a task requires continuous surveillance over large urban areas, which is costly both in infrastructure and sensor resources. Hence it gives rise to Vehicular Mobile Networks (VMNs), in which mobile vehicles play the role of sensor devices and constantly monitor the area. |