Practical Optimisation of Path Planning and Completion Time of Data Collection for UAV-enabled Disaster Communications

In this work, we propose efficient optimisation methods for embedded relay-assisted unmanned ariel vehicles (UAVs) in wireless sensor networks (WSNs) to cope with the hazardous effect of natural disaster. Particularly, by using advanced optimisation techniques, our low-complexity procedures are suitable applied to internet-of-things (IoT) applications when the execution time is strictly governed in disaster scenarios. Our model considers real-time optimisation in embedded UAV-WSN communication for tracking and gathering sensor data. Our algorithms are low computational complexity with fast deployment and low execution time for solving our problem in milliseconds. Numerical results are shown to demonstrate the benefit of our proposed approaches for UAV-WSN.