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Help from the Sky: Leveraging UAVs for Disaster Management

Erdelj, Milan, Natalizio, Enrico, Chowdhury, Kaushik R., Akyildiz, Ian F.·2017·IEEE Pervasive Computing

Abstract

This article presents a vision for future unmanned aerial vehicles (UAV)-assisted disaster management, considering the holistic functions of disaster prediction, assessment, and response. Here, UAVs not only survey the affected area but also assist in establishing vital wireless communication links between the survivors and nearest available cellular infrastructure. A perspective of different classes of geophysical, climate-induced, and meteorological disasters based on the extent of interaction between the UAV and terrestrially deployed wireless sensors is presented in this work, with suitable network architectures designed for each of these cases. The authors outline unique research challenges and possible solutions for maintaining connected aerial meshes for handoff between UAVs and for systems-specific, security- and energy-related issues. This article is part of a special issue on drones.

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Metadata

Authors
Erdelj, M., Natalizio, E., Chowdhury, K. R., & Akyildiz, I. F.
Venue
IEEE Pervasive Computing
Published
2017-01
Volume
16
Issue
1
Pages
24-32
ISSN
1536-1268 (ISSN-L)
OpenAlex
W2571149404
Cited by
996
References
0
FWCI
93.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Help from the Sky: Leveraging UAVs for Disaster Management. https://app.cochat.ai/papers/10.1109/mprv.2017.11
The paper
Erdelj, M., Natalizio, E., Chowdhury, K. R., & Akyildiz, I. F. (2017). Help from the Sky: Leveraging UAVs for Disaster Management. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2017.11

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.