- Title
- UAV-enabled healthcare architecture : issues and challenges
- Creator
- Ullah, Sana; Kim, Ki; Kim, Kyong; Imran, Muhammad; Khan, Pervez
- Date
- 2019
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/183046
- Identifier
- vital:16253
- Identifier
-
https://doi.org/10.1016/j.future.2019.01.028
- Identifier
- ISBN:0167-739X (ISSN)
- Abstract
- Unmanned Aerial Vehicles (UAVs) have great potential to revolutionize the future of automotive, energy, and healthcare sectors by working as wireless relays to improve connectivity with ground networks. They are able to collect and process real-time information by connecting existing network infrastructures including Internet of Medical Things (e.g., Body Area Networks (BANs)) and Internet of Vehicles with clouds or remote servers. In this article, we advocate and promote the notion of employing UAVs as data collectors. To demonstrate practicality of the idea, we propose a UAV-based architecture to communicate with BANs in a reliable and power-efficient manner. The proposed architecture adopts the concept of wakeup-radio based communication between a UAV and multiple BANs. We analyze the performance of the proposed protocol in terms of throughput and delay by allocating different priorities to the hubs or gateways. The proposed architecture may be useful in remote or disaster areas, where BANs have poor or no access to conventional wireless communication infrastructure, and may even assist vehicular networks by monitoring driver's physiological conditions through BANs. We further highlight open research issues and challenges that are important for developing efficient protocols for UAV-based data collection in smart healthcare systems. © 2019 Elsevier B.V. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record**
- Publisher
- Elsevier B.V.
- Relation
- Future Generation Computer Systems Vol. 97, no. (2019), p. 425-432
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019 Elsevier B.V.
- Subject
- 4604 Cybersecurity and Privacy; 4606 Distributed Computing and Systems Software; Body Area Network; Industry; IoV; Smart healthcare; Unmanned Aerial Vehicles
- Reviewed
- Funder
- This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education ( NRF-2018R1D1A1B07043731 ).
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