Journal
IEEE NETWORK
Volume 35, Issue 2, Pages 160-167Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.011.2000439
Keywords
Security; Monitoring; Biomedical monitoring; Medical services; Communication channels; Wireless communication; Temperature measurement
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With the spread of novel coronavirus, concerns about global health have increased, prompting the proposal of using 5G multi-swarm UAVs to handle disease containment. A blockchain-envisioned softwarized multi-swarming UAV communication scheme based on a 6G network is suggested to achieve intelligent connectivity and data security, showing superior performance compared to existing systems.
With the spread of novel coronavirus, global health concerns have increased as it has flattened the curve of mortality worldwide. To handle such a containment of disease, multi-swarm Unmanned Aerial Vehicles (UAVs) with 5G can be used to reduce human intervention with major benefits of high bandwidth, ultra-low-latency, and reliability. Multi-swarm UAVs sends a huge amount of data to ground stations with real-time connection density of 107/km(2), which is a bottleneck on 5G networks; data security is another issue in sharing sensitive data. Motivated by these issues, in this article, we propose a blockchain-envisioned softwarized multi-swarming UAV communication scheme based on a 6G network with intelligent connectivity, Terahertz (THz) frequency bands, and virtualization of link and physical-level protocols. Softwarization makes the communication infrastructure flexible, agile, and easily configu-rabie, and the potential of blockchain supports data security. Results show that the proposed scheme performs better in terms of processing delay, packet loss reduction, and throughput compared to exiting 4G/5G-based systems.
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