Distributed clustering for user devices under UAV coverage area during disaster recovery
Document Type
Conference Item
Publication Date
1-1-2021
Abstract
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 UAV's 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.
Keywords
Disaster Recovery, UAV, Clustering technique, Emergency communications system, 5G
Divisions
fac_eng
Funders
Universiti Malaya, Department of Electrical Engineering,Defence Research & Development Organisation (DRDO),Universiti Tun Hussein Onn Malaysia under the MDR grant
Event Title
2021 IEEE International Conference in Power Engineering Application (ICPEA 2021)
Event Dates
8-9 March 2021
Event Type
conference