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Mobile Information Systems
Volume 2018, Article ID 2572460, 12 pages
Research Article

Reliable Flying IoT Networks for UAV Disaster Rescue Operations

1Samsung Electronics Co., Ltd., Yong-tong-gu, Suwon, Gyung-gi-do, Republic of Korea
2SK Hynix Co., Ltd., 2091 Gyeongchung-daero, Bubal-eup, Icheon-si, Gyeonggi-do, Republic of Korea
3Department of Software, Korea Aerospace University, 6 Hanggongdaehang-ro, Deokyang-gu, Goyang-si, Gyeonggi-do 412-791, Republic of Korea
4Department of Telecommunication and Computer Engineering, Korea Aerospace University, 76 Hanggongdaehang-ro, Deokyang-gu, Goyang-si, Gyeonggi-do 412-791, Republic of Korea

Correspondence should be addressed to Junghee Han;

Received 15 December 2017; Accepted 28 June 2018; Published 6 August 2018

Academic Editor: Omprakash Gnawali

Copyright © 2018 Taemin Ahn et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Recently, UAVs (unmanned air vehicles) have been developed with high performance, and hence, the range of system utilizing UAVs has also been widening. UAVs are even considered as connected mobile sensors and are claimed to be the future of IoT (Internet of Things). UAVs’ mission fulfillment is relying on the efficiency and performance of communication in a FANET (Flying Ad hoc NETwork) environment where UAVs communicate with each other through an ad hoc network without infrastructure. Especially, for mission-critical applications such as disaster rescue operations, reliable and on-time transmission of rescue information is very critical. To develop the reliable FANETs, a realistic network simulation platform for UAV communication has become an important role. Motivated by this observation, this paper first presents a study on realistic FANET environment simulation platform. On top of the proposed platform, we also design a stable UAV communication protocol with high packet delivery and bounded end-to-end communication delay.