Design of A unmanned aerial vehicles assisted search and rescue collaboration architecture for emergency communication systems / Abdu Ahmed Saif Ahmed

Abdu Ahmed , Saif Ahmed (2022) Design of A unmanned aerial vehicles assisted search and rescue collaboration architecture for emergency communication systems / Abdu Ahmed Saif Ahmed. PhD thesis, Universiti Malaya.

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Abstract

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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