UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Nguyen, Minh Tuan; Nguyen, Cuong V.; T., Hai; Hua, Hoang T.; Tran, Thang A.; Nguyen, An D.; Ala, Guido; Viola, Fabio

doi:10.3390/electronics10212603

Cited by 46 publications

(28 citation statements)

References 100 publications

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“…In the data collection mission, the authors of [ 20 ] proposed a data collection scheme that uses UGVs as mobile cluster heads in WSNs to assist the UAV to save data collection time and energy for SNs. The ground mobile cluster head is responsible for aggregating sensor data together and the UAV obtains the required information from it.…”

Section: Literature Reviewmentioning

confidence: 99%

Completion Time Minimization for UAV-UGV-Enabled Data Collection

Zhao

Liu

2022

Sensors

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In unmanned aerial vehicle (UAV)-enabled data collection systems, situations where sensor nodes (SNs) cannot upload their data successfully to the UAV may exist, due to factors such as SNs’ insufficient energy and the UAV’s minimum flight altitude. In this paper, an unmanned ground vehicle (UGV)-UAV-enabled data collection system is studied, where data collection missions are conducted by a UAV and a UGV cooperatively. Two cooperative strategies are proposed, i.e., collaboration without information interaction, and collaboration with information interaction. In the first strategy, the UGV collects data from remote SNs (i.e., the SNs that cannot upload data to the UAV) as well as some normal SNs (i.e., the SNs that can upload data to the UAV), while the UAV only collects data from some normal SNs. Then, they carry the data back to the data center (DC) without interacting with each other. In the second strategy, the UGV only collects data from remote SNs, while transmitting the collected data to the UAV at a data interaction point, then the data are carried back to the DC by the UAV. There are mobile data collection nodes on the ground and in the air, and the task is to find trajectories to minimize the data collection time in the data center. A collaborative strategy selection algorithm, combining a multi-stage-based SN association and UAV-UGV path optimization algorithm, is proposed to solve the problem effectively, where techniques including convex optimization and genetic algorithm are adopted. The simulation result shows that the proposed scheme reduces the mission completion time by 36% compared with the benchmark scheme.

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Section: Literature Reviewmentioning

confidence: 99%

Completion Time Minimization for UAV-UGV-Enabled Data Collection

Zhao

Liu

2022

Sensors

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“…This can be more advantageous in collecting and delivering urgent and vital information in the disaster area. Unlike in previous research [18][19][20][21], the proposed message ferry not only introduced the concept of using drones to carry messages from one location to another. It also focused on the practicality and the actual application and usage of the concept in a real life scenario (i.e., disaster situation).…”

Section: Introductionmentioning

confidence: 99%

A Practical Approach to Deploying a Drone-Based Message Ferry in a Disaster Situation

2022

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Unmanned aerial vehicles (UAVs) are commonly used in disaster recovery efforts to confirm the extent of the damage caused by a large-scale disaster and to ensure that adequate information about the affected area is gathered. UAV usage in a disaster situation is not limited to information gathering, but its functions further extend to network communication functions such as a communication relay, mobile base station, etc. Conversely, using UAVs as communication relays or base stations (e.g., as a temporary mobile base station) is subject to some limitations such as bad weather and limited energy, which affect the timely collection and delivery of information to and from a disaster area. Therefore, an approach to improve the information collection and delivery in a disaster area while ensuring urgent network restoration is necessary. In this paper, we introduce a practical approach to deploying a drone-based message ferry to improve the timely collection and delivery of information in a disaster situation. Specifically, a locally accessible cloud system (LACS), which we previously developed for urgent local network restoration in a disaster affected area, is attached to a drone to form a message ferry. In order to improve the information collection and delivery, the message ferry is deployed from the local headquarters (i.e., local government office or disaster response coordination center) to carry information to and from a standalone LACS installed at each disaster shelter. We measure the achievable data rate of inter-LACS data transfer (i.e., message ferry and a standalone LACS) through experiment. Thereafter, we estimate and confirm the effective transmission speed to transfer data from the local headquarters to the disaster shelters using average achievable data rate obtained from the experiment in order to extend the LACS services and functions. Our experimental results and analysis suggest that the proposed message ferry is more advantageous to transfer a large amount of data (e.g., 300 MB) at a high speed in the hundred meter to ten kilometer range.

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“…A use case that raises great interest is that of employing UAVs for data collection in WSNs [ 12 ]. The use of a UAV as a mobile sink node is one of the most commonly studied scenarios, entailing collaborations between UAVs and WSNs [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Time-Constrained Node Visit Planning for Collaborative UAV–WSN Distributed Applications

Augello

Gaglio

et al. 2022

Sensors

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Unmanned Aerial Vehicles (UAVs) are often studied as tools to perform data collection from Wireless Sensor Networks (WSNs). Path planning is a fundamental aspect of this endeavor. Works in the current literature assume that data are always ready to be retrieved when the UAV passes. This operational model is quite rigid and does not allow for the integration of the UAV as a computational object playing an active role in the network. In fact, the UAV could begin the computation on a first visit and retrieve the data later. Potentially, the UAV could orchestrate the distributed computation to improve its performance, change its parameters, and even upload new applications to the sensor network. In this paper, we analyze a scenario where a UAV plays an active role in the operation of multiple sensor networks by visiting different node clusters to initiate distributed computation and collect the final outcomes. The experimental results validate the effectiveness of the proposed method in optimizing total flight time, Average Age of Information, Average cluster computation end time, and Average data collection time compared to prevalent approaches to UAV path-planning that are adapted to the purpose.

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UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Cited by 46 publications

References 100 publications

Completion Time Minimization for UAV-UGV-Enabled Data Collection

Completion Time Minimization for UAV-UGV-Enabled Data Collection

A Practical Approach to Deploying a Drone-Based Message Ferry in a Disaster Situation

Time-Constrained Node Visit Planning for Collaborative UAV–WSN Distributed Applications

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