Poster Abstract: Sprinkler-UAV Cooperative Active Scheduling System
2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)(2024)
Abstract
Urban particulate pollution presents considerable public health hazards, underscoring the need for effective control measures in various cities. A prevalent approach involves employing mobile sprinkling trucks. This paper proposes a Sprinkler-UAV Cooperative Active Scheduling System for enhanced efficiency in reducing particulate pollution. The system employs ground-based sprinkler trucks and airborne air pollution detection drones to actively explore and reduce PM2.5 in environments with dynamic and unknown pollution distributions. Preliminary experiments have demonstrated the effectiveness of using sprinklers for urban particulate matter control.
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Key words
Sprinkling,Mobile computing,Scheduling system
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