Design of A unmanned aerial vehicles assisted search and rescue collaboration architecture for emergency communication systems / Abdu Ahmed Saif Ahmed
During natural disasters, it is highly likely that the established wireless communication infrastructure. For effective disaster management, it is crucial to replace ground base stations in order to avoid network failure and carry out life-saving activities and recovery operations. The current wi...
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| Format: | Thesis |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14978/2/Abdu_Ahmed.pdf http://studentsrepo.um.edu.my/14978/1/Abdu_Ahmed.pdf http://studentsrepo.um.edu.my/14978/ |
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| Summary: | During natural disasters, it is highly likely that the established wireless communication
infrastructure. For effective disaster management, it is crucial to replace ground base
stations in order to avoid network failure and carry out life-saving activities and recovery
operations. The current wireless technologies used for public safety coordination do not
provide flexibility, low-latency services, and swift adaptation to the environment during
natural disasters. This thesis addresses these issues by studying a theoretical framework
for designing and analyzing emergency communication system (ECS) algorithms for
post-disaster recovery. UAVs are increasingly valuable to assist ECS and search and rescue
(SAR) teams in multiple disaster management operations to increase disaster response
effectiveness. However, the UAVs have limited battery lifetime and transmission distance
of coverage area and intermittent connectivity on the edge of UAV coverage for the search
and rescue operation. Moreover, the interference effect ECS performance while trying to
achieve optimal solutions. The ECS design is based on the collaboration of multiple UAVs
and SAR teams in order to provide reliable connectivity of wireless coverage service and
save people during disasters. The ECS minimizes outage probability and extends the UAV
coverage area through clustering and D2D communication based on the proposed selection
of the optimal cluster head. Energy harvesting is employed to power communication
devices and prolong the wireless communications network lifetime during a disaster to deal
with these challenges. An optimal cluster head technique has been proposed to improve
energy transfer efficiency and establish sustainable ECS connectivity. Simulation results indicate that the proposed algorithms can significantly reduce the outage probability and
energy consumption. The multi-UAV and SAR collaboration have been evaluated based
on average capacity, energy efficiency, line-of-sight probability, path loss, throughput
performance, coverage probability analysis and outage probability performance. Moreover,
the proposed approach has effectively extended the coverage areas and speed up the
response to disaster recovery. Furthermore, the proposed EH method maximizes the UAV
direct link scenario by around 50% for D2D communication. The optimal cluster head
selection algorithm also gives a lower outage probability of approximately 40% compared
to nonoptimal cluster selection in UAV to cluster head links and cluster head to cluster
member links to improve the network stability. The outage probability of the proposed
solution is approximately 10% better than that of related work. This will guarantee the
communication link quality between the optimal cluster head and cluster members as
D2D communication pairs. It can eliminate the battery power barriers and interference of
UAVs and user devices through a combination of EH and PC. The lower computational
complexity is evaluated to reduce interference and increase the convergence rate compared
with related work.
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