AirScope: Mobile Robots Assisted Cooperative Indoor Air Quality Sensing by Distributed Deep Reinforcement Learning

Zhiwen Hu
Zhiwen Hu
Shuchang Cong
Shuchang Cong
Tiankuo Song
Tiankuo Song

IEEE Internet Things J., pp. 9189-9200, 2020.

Cited by: 0|Views13
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Abstract:

The indoor air pollution has become a growing health risk, but it is challenging to provide low cost air quality monitoring for indoor environment. In this paper, we present “AirScope”, a mobile sensing system that employs cooperative robots to monitor the indoor air quality. Since the wireless coverage can be incomplete in some indoor ar...More

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