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Sensors 2017, 17(8), 1818;

Cloud-Assisted UAV Data Collection for Multiple Emerging Events in Distributed WSNs

School of Electrical and Computer Engineering, Nanfang College of Sun Yat-sen University, Guangzhou 510970, China
College of Electronic Engineering, South China Agricultural University, Guangzhou 510642, China
Author to whom correspondence should be addressed.
Received: 26 June 2017 / Revised: 1 August 2017 / Accepted: 2 August 2017 / Published: 7 August 2017
(This article belongs to the Section Sensor Networks)
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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. View Full-Text
Keywords: cloud-assisted; Emerging event; Flying parameters; UAV; WSN cloud-assisted; Emerging event; Flying parameters; UAV; WSN

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Cao, H.; Liu, Y.; Yue, X.; Zhu, W. Cloud-Assisted UAV Data Collection for Multiple Emerging Events in Distributed WSNs. Sensors 2017, 17, 1818.

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