Journal
SENSORS
Volume 17, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/s17081818
Keywords
cloud-assisted; Emerging event; Flying parameters; UAV; WSN
Funding
- Water Resource Science and Technology Innovation Program of the Guangdong Province, China [2016-18]
- Science and Technology Planning Project of Guangdong Province, China [2014A020208109, 2015A020224036]
- School of Information Science and Technology, South China Agricultural University
Ask authors/readers for more resources
In recent years, UAVs (Unmanned Aerial Vehicles) have been widely applied for data collection and image capture. Specifically, UAVs have been integrated with wireless sensor networks (WSNs) to create data collection platforms with high flexibility. However, most studies in this domain focus on system architecture and UAVs' flight trajectory planning while event-related factors and other important issues are neglected. To address these challenges, we propose a cloud-assisted data gathering strategy for UAV-based WSN in the light of emerging events. We also provide a cloud-assisted approach for deriving UAV's optimal flying and data acquisition sequence of a WSN cluster. We validate our approach through simulations and experiments. It has been proved that our methodology outperforms conventional approaches in terms of flying time, energy consumption, and integrity of data acquisition. We also conducted a real-world experiment using a UAV to collect data wirelessly from multiple clusters of sensor nodes for monitoring an emerging event, which are deployed in a farm. Compared against the traditional method, this proposed approach requires less than half the flying time and achieves almost perfect data integrity.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available