Design and Deployment of UAV-Aided Post-Disaster Emergency Network

Panda, Kirtan Gopal; Das, Shrayan; Sen, Debarati; Arif, Wasim

doi:10.1109/access.2019.2931539

Cited by 98 publications

(43 citation statements)

References 33 publications

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“…UAV Swarms. Lately, UAVs have been gaining interest among researchers thanks to their usage flexibility even though efficient UAV deployment procedures involve several technical challenges [49]. Indeed, UAV trajectories should take into account the flight time, energy constraints, ground users' Qualityof-Service (QoS) and collision avoidance requiring an iterative complex optimization problem resolution that provides, time by time, the next UAV position [50]- [52].…”

Section: Related Workmentioning

confidence: 99%

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

Albanese¹,

Sciancalepore²,

Costa‐Pérez

2022

IEEE Trans. on Mobile Comput.

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Natural disasters affect millions of people every year. Finding missing persons in the shortest possible time is of crucial importance to reduce the death toll. This task is especially challenging when victims are sparsely distributed in large and/or difficult-to-reach areas and cellular networks are down. In this paper we present SARDO, a drone-based search and rescue solution that leverages the high penetration rate of mobile phones in the society to localize missing people. SARDO is an autonomous, all-in-one drone-based mobile network solution that does not require infrastructure support or mobile phones modifications. It builds on novel concepts such as pseudo-trilateration combined with machine-learning techniques to efficiently locate mobile phones in a given area. Our results, with a prototype implementation in a field-trial [1], show that SARDO rapidly determines the location of mobile phones (∼ 3 min/UE) in a given area with an accuracy of few tens of meters and at a low battery consumption cost (∼ 5%). State-of-the-art localization solutions for disaster scenarios rely either on mobile infrastructure support or exploit onboard cameras for human/computer vision, IR, thermal-based localization. To the best of our knowledge, SARDO is the first drone-based cellular search-and-rescue solution able to accurately localize missing victims through mobile phones.

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Section: Related Workmentioning

confidence: 99%

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

Albanese¹,

Sciancalepore²,

Costa‐Pérez

2022

IEEE Trans. on Mobile Comput.

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“…However, many technologies support the both protocols because they have different strengths and weaknesses. For example, for shorter distance, UDP is better due to high throughput performance, whereas the connection-oriented protocol TCP is better for longer distance [ 22 ]. Thus, we design MuTran to be able to transmit control packets in two modes, TCP-mode and UDP-mode.…”

Section: System Design and Implementationmentioning

confidence: 99%

Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets

Lee

2021

Sensors

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In the last ten years, supported by the advances in technologies for unmanned aerial vehicles (UAVs), UAVs have developed rapidly and are utilized for a wide range of applications. To operate UAVs safely, by exchanging control packets continuously, operators should be able to monitor UAVs in real-time and deal with any problems immediately. However, due to any networking problems or unstable wireless communications, control packets can be lost or transmissions can be delayed, which causes the unstable drone control. To overcome this limitation, in this paper, we propose MuTran for enabling reliable UAV control. MuTran considers the packet type and duplicates only control packets, not data packets. After that, MuTran transmits the original and duplicate packets through multiple protocols and paths to improve the reliability of control packet transmissions. We designed MuTran and conducted a lot of theoretical analyses to demonstrate the validity of MuTran and analyze it from various aspects. We implemented MuTran on real devices and evaluated MuTran using the devices. We conducted experiments to verify the limitations of the existing systems and demonstrate that control packets can be transmitted more stably by using MuTran. Through the analysis and experimental results, we confirmed that MuTran reduces the control packet transfer delay, which improves the reliability and stability of controlling UAVs.

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“…Wireless Communications and Mobile Computing area. The authors in [20] designed a prototype of UAVassisted emergency Wi-Fi-based network, which is aimed at accelerating search and rescue operation and doing on-site surveillance over a postdisaster area. By using a stochastic geometry framework, they derived analytical approximate expressions for the outage probability.…”

Section: Related Workmentioning

confidence: 99%

Performance Optimization in UAV‐Assisted Wireless Powered mmWave Networks for Emergency Communications

Gui

Jin

Deng

2021

Wireless Communications and Mobile Computing

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In this paper, we explore how a rotary-wing unmanned aerial vehicle (UAV) acts as an aerial millimeter wave (mmWave) base station to provide recharging service and radio access service in a postdisaster area with unknown user distribution. The addressed optimization problem is to find out the optimal path starting and ending at the same recharging point to cover a wider area under limited battery capacity, and it can be transformed to an extended multiarmed bandit (MAB) problem. We propose the two improved path planning algorithms to solve this optimization problem, which can improve the ability to explore the unknown user distribution. Simulation results show that, in terms of the total number of served user equipment (UE), the number of visited grids, the amount of data, the average throughput, and the battery capacity utilization level, one of our algorithms is superior to its corresponding comparison algorithm, while our other algorithm is superior to its corresponding comparison algorithm in terms of the number of visited grids.

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Design and Deployment of UAV-Aided Post-Disaster Emergency Network

Cited by 98 publications

References 33 publications

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets

Performance Optimization in UAV‐Assisted Wireless Powered mmWave Networks for Emergency Communications

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