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UAV-assisted emergency networks in disasters

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Zhao, Nan, Lu, Weidang, Sheng, Min, Chen, Yunfei, Tang, Jie, Yu, F. Richard and Wong, Kai-Kit (2019) UAV-assisted emergency networks in disasters. IEEE Wireless Communications, 26 (1). pp. 45-51. doi:10.1109/MWC.2018.1800160

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Official URL: https://doi.org/10.1109/MWC.2018.1800160

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Abstract

Reliable and flexible emergency communication is a key challenge for search and rescue in the event of disasters, especially for the case when base stations (BSs) are no longer functioning. Unmanned aerial vehicle (UAV) assisted network is emerging as a promising method to establish emergency networks. In this article, a unified framework of UAV-assisted emergency network is established in disasters. First, the trajectory and scheduling of UAV are jointly optimized to provide wireless service to ground devices with surviving BSs. Then, the transceiver design of UAV and establishment of multi-hop ground device-to- device (D2D) communication are studied to extend the wireless coverage of UAV. In addition, multi-hop UAV relaying is added to realize information exchange between the disaster areas and outside through optimizing the hovering positions of UAVs. Simulation results are presented to show the effectiveness of these three schemes. Finally, open research issues and challenges are discussed.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Emergency communication systems, Drone aircraft, Wireless communication systems, Routing (Computer network management), Trajectory optimization, Radio -- Transmitter-receivers -- Design and construction
Journal or Publication Title: IEEE Wireless Communications
Publisher: IEEE
ISSN: 1536-1276
Official Date: 13 February 2019
Dates:
DateEvent
10 October 2018Accepted
13 February 2019Available
13 February 2019Published
Date of first compliant deposit: 12 October 2018
Volume: 26
Number: 1
Page Range: pp. 45-51
DOI: 10.1109/MWC.2018.1800160
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
ISN19-02State Key Laboratory of Integrated Services NetworksUNSPECIFIED
61871065[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61871348[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
DUT17JC43Fundamental Research Funds for the Central UniversitiesUNSPECIFIED
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