Energy Aware Data Collection with Route Planning for 6G Enabled UAV Communication

With technological advancements in 6G and Internet of Things (IoT), the incorporation Unmanned Aerial Vehicles (UAVs) cellular networks has become a hot research topic. At present, proficient evolution allows UAVs to offer cost-effective timely solutions for real-time applications such as medicine, tracking, surveillance, etc. Energy efficiency, data collection, route planning are crucial processes improve network communication. These highly difficult owing high mobility, presence non-stationary links, dynamic topology, energy-restricted UAVs. this motivation, current paper presents novel Aware Data Collection with Routing Planning 6G-enabled UAV communication (EADCRP-6G) technique. The goal proposed EADCRP-6G technique is conduct energy-efficient cluster-based collection optimal networks. deploys Improved Red Deer Algorithm-based Clustering (IRDAC) elect an set Cluster Heads (CH) organize these clusters. Besides, Artificial Fish Swarm-based Route (AFSRP) applied choose optimum routes In order validated whether enhances performance, series simulations was performed outcomes were investigated under different dimensions. experimental results showcase that model outperformed all other existing models evaluation parameters.