Smart S-UAV Network with Advanced Clustered Architectures for Emergency Management

A group of unmanned aerial vehicles (UAVs) cooperating to complete predetermined tasks is referred to as a swarm of UAVs (S-UAVs). Clustering, which divides UAVs into clusters, is one of the routing techniques that S-UAVs use the most. A cluster head (CH) and cluster members (CM) make up each cluster. Due to its critical importance in routing packets to their destination, the CH selection process is an ongoing study area. Any UAV is vulnerable to damage in emergency situations, such as a fire. To guarantee end-to-end communication in the event of a non-functional CH, we suggest an optimized clustered weighted approach based on multiple redundancy. The CH, redundant CHs, and CMs are chosen using an optimized weighted measure that combines separation, speed, energy, and performance parameters. The proposed method automatically assigns a redundant node for every UAV to ensure a functional CH despite the number of non-functional UAVs that might be. According to the outcomes of the simulation that was run using MATLAB, this is a promising approach that ensures data delivery with a minimal delay in any emergency.