  An Unmanned Aerial Vehicle (UAV) is a promising technology for providing
wireless coverage to ground user devices. For all the infrastructure
communication networks destroyed in disasters, UAVs battery life is challenging
during service delivery in a post-disaster scenario. Therefore, selecting
cluster heads among user devices plays a vital role in detecting UAV signals
and processing data for improving UAV energy efficacy and reliable
Connectivity. This paper focuses on the performance evaluation of the
clustering approach performance in detecting wireless coverage services with
improving energy efficiency. The evaluation performance is a realistic
simulation for the ground to air channel Line of Sight (LoS). The results show
that the cluster head can effectively link the UAVs and cluster members at
minimal energy expenditure. The UAVs altitudes and path loss exponent affected
user devices for detecting wireless coverage. Moreover, the bit error rate in
the cluster heads is considered for reliable Connectivity in post disaster.
Clustering stabilizes the clusters linking the uncovered nodes to the UAV, and
its effectiveness in doing so resulted in its ubiquity in emergency
communication systems.
