Dynamic Positioning and Energy-Efficient Path Planning for Disaster Scenarios in 5G-Assisted Multi-UAV Environments

• DOI: 10.3390/electronics11142197
• Publication Date: 2022-07-14T02:06:00Z
• Authors: Adil Khan; Jinling Zhang; Shabeer Ahmad; Saifullah Memon; Haroon Akhtar Qur...; Muhammad Ishfaq
• Keywords: Disaster Recovery

The integration of fifth-generation (5G) and unmanned aerial vehicle (UAV) technologies has become a promising solution for providing seamless communication in applications, such as disaster management, because its bandwidth availability, cost-efficacy, mobile nature. state-of-the-art research UAV concentrates on effective positioning path planning. Despite this, these systems performed poorly due to lack dynamic control external factors, weather. presented this paper addresses the problems listed above by using energy-efficient planning scenarios 5G-assisted multi-UAV environments (Dynamic-UAV) maximize performance metrics. lightweight gated recurrent unit (LGRU) is used weather event prediction determine non-disaster area context disaster. density-based optics clustering (DBOC) algorithm achieve reliability during with cluster IoT devices regions. satellite determines number UAVs required positions positioning-based soft actor–critic (DPSAC) maximum throughput. Moreover, UAVs’ shuffled shepherd optimization dynamic-window method (SSO-DWM) reduce energy consumption. proposed approach simulated NS 3.26 simulator validated comparing results existing techniques regarding quality service (QoS), reliability, efficiency. Experimental indicate that achieved throughput (1.59 bit/s), packet delivery ratio (0.88), coverage probability (0.82), collected packets (7109–5875), efficiency (1.544), minimum delay (16.4 ms–18.5 ms), consumption (7.48 KJ).