Abstract:
Medical delivery drones are gradually becoming an inseparable part of smart human society, especially with the emergence of 5G and existing internet of things (IoT). A wi...Show MoreMetadata
Abstract:
Medical delivery drones are gradually becoming an inseparable part of smart human society, especially with the emergence of 5G and existing internet of things (IoT). A wide range of medical facilities can be leveraged via drone-based delivery aspects. Being a nascent stage of development, this field of application faces significant drawbacks from reliable and secure e-healthcare. In this paper, we discuss the importance of blockchain to improve decentralization, privacy, and consensus-aware medical product delivery by the drones. We firstly review the background of blockchain, 5G-IoT ecosystem and unmanned aerial vehicles (UAVs). Secondly, we review existing UAVs capable of performing medial delivery. We also find whether such drones are technically viable to work accordance to the 5GIoT era. Thirdly, we propose a modified multi-modal aspect behind medical delivery drones under the 5G-IoT assisted blockchain ecosystem. Fourthly, we propose an architecture comprising 5G, IoT, blockchain, and medical delivery drones with extraterrestrial communication support from satellites. Lastly, we discuss key open research challenges and provide a future road map.
Date of Conference: 09-11 August 2020
Date Added to IEEE Xplore: 30 September 2020
ISBN Information:
ISSN Information:
Citations are not available for this document.
Cites in Papers - |
Cites in Papers - IEEE (4)
Select All
1.
Guoqiang Zhang, Qiwei Hu, Yu Zhang, Yueyue Dai, Tao Jiang, "Lightweight Cross-Domain Authentication Scheme for Securing Wireless IoT Devices Using Backscatter Communication", IEEE Internet of Things Journal, vol.11, no.12, pp.22021-22035, 2024.
2.
Abhishek Bera, Youssouf Drif, Jorge Querol, Miguel Olivares-Mendez, "Implementation of Edge-driven Geofencing and BVLOS Control for 5G-enabled Delivery Drone", 2023 IEEE Globecom Workshops (GC Wkshps), pp.68-73, 2023.
3.
Roozbeh Sarenche, Farhad Aghili, Takahito Yoshizawa, Dave Singelée, "DASLog: Decentralized Auditable Secure Logging for UAV Ecosystems", IEEE Internet of Things Journal, vol.10, no.23, pp.20264-20284, 2023.
4.
Van Sy Nguyen, Jinwon Jung, Sanghoon Jung, Seonggun Joe, Byungkyu Kim, "Deployable Hook Retrieval System for UAV Rescue and Delivery", IEEE Access, vol.9, pp.74632-74645, 2021.
Cites in Papers - Other Publishers (9)
1.
Muhammad Adil, Houbing Song, Mian Jan, Muhammad Khan, Xiangjian He, Ahmed Farouk, Zhanpeng Jin, "UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions", ACM Computing Surveys, 2024.
2.
Özlem Sabuncu, Bülent Bilgehan, "Revolutionizing Healthcare 5.0: Blockchain-Driven Optimization of Drone-to-Everything Communication Using 5G Network for Enhanced Medical Services", Technology in Society, pp.102552, 2024.
3.
Wei Han Sr, Yuanting Li 2nd, Changgen Chen 3rd, Danni Huang, Junchao Wang, Xiang Li, Xiang Li, Zhongliang Ji, Qin Li, Zhuang Li, "Viewpoint on: 5G Key Technologies for Helicopter Aviation Medical Rescue (Preprint)", Journal of Medical Internet Research, 2023.
4.
Xin Zhou, Lin Yang, Linru MA, Huasen He, "Towards secure and resilient unmanned aerial vehicles swarm network based on blockchain", IET Blockchain, 2023.
5.
Zainab Umair Kamangar, Raheel Ahmed Memon, Ghulam Murtaza Memon, Umair Ayaz Kamangar, "Integration of Internet of Things and blockchain technology in healthcare domain: A systematic literature review", International Journal of Communication Systems, 2023.
6.
Wei Han Sr, Yuanting Li 2nd, Changgen Chen 3rd, Danni Huang, Junchao Wang, Xiang Li, Xiang Li, Zhongliang Ji, Qin Li, Zhuang Li, , 2023.
7.
Xi Song, Xiaoqin Zhu, Yong Yang, Wenhui Li, Guoliang Ding, Renping Song, Shigang Duan, "Deployment algorithms of UAV flying base stations based on 5G", International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), pp.30, 2022.
8.
Xuesong Wu, Ye Du, Tao Fan, Junyan Guo, Jie Ren, Runfang Wu, Tianshuai Zheng, "Threat analysis for space information network based on network security attributes: a review", Complex & Intelligent Systems, 2022.
9.
Choon Seng Tan, Douglas L. Van Bossuyt, Britta Hale, "System Analysis of Counter-Unmanned Aerial Systems Kill Chain in an Operational Environment", Systems, vol.9, no.4, pp.79, 2021.