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. 2021 Jul 1:2021:1686946.
doi: 10.1155/2021/1686946. eCollection 2021.

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

Inam Ullah Khan  1 , Muhammad Abul Hassan  2 , Mohammad Dahman Alshehri  3 , Mohammed Abdulaziz Ikram  4 , Hasan J Alyamani  5 , Ryan Alturki  6 , Vinh Truong Hoang  7
Affiliations

Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

Inam Ullah Khan et al. J Healthc Eng. .

Retraction in

Abstract

In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regarding health and transfer it to a base station. Furthermore, the unbalanced energy usage of flying things will result in earlier mission failure and a rapid decline in network lifespan. This study describes the use of each UAV's residual energy level to ensure a high level of safety using an ant-based routing technique called AntHocNet. In health care, the use of IoT-assisted aerial vehicles would increase operational performance, surveillance, and automation optimization to provide a smart application of flying IoT. Apart from that, aerial vehicles can be used in remote communication for treatment, medical equipment distribution, and telementoring. While comparing routing algorithms, simulation findings indicate that the proposed ant-based routing protocol is optimal.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Personalized UAV network applications in health care.
Figure 2
Figure 2
Single UAV monitoring-based applications.
Figure 3
Figure 3
Multi-UAV's connectivity in two different cities.
Figure 4
Figure 4
Routing protocols for Internet of flying networks.
Figure 5
Figure 5
Working of ant colony optimization.
Figure 6
Figure 6
Flowchart of AntHocNet.
Figure 7
Figure 7
Aerial network topology for UAVs.
Figure 8
Figure 8
Throughput analysis.
Figure 9
Figure 9
Packet delivery ratio.
Figure 10
Figure 10
Packet drop count.
Figure 11
Figure 11
Packet loss.
Figure 12
Figure 12
Average end-to-end delay.
See this image and copyright information in PMC

References

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