Efficient Deployment with Throughput Maximization for UAVs Communication Networks

Mohd Abuzar Sayeed, Rajesh Kumar, Vishal Sharma*, Mohd Asim Sayeed

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
64 Downloads (Pure)


The article presents a throughput maximization approach for UAV assisted ground networks. Throughput maximization involves minimizing delay and packet loss through UAV trajectory optimization, reinforcing the congested nodes and transmission channels. The aggressive reinforcement policy is achieved by characterizing nodes, links, and overall topology through delay, loss, throughput, and distance. A position-aware graph neural network (GNN) is used for characterization, prediction, and dynamic UAV trajectory enhancement. To establish correctness, the proposed approach is validated against optimized link state routing (OLSR) driven UAV assisted ground networks. The proposed approach considerably outperforms the classical approach by demonstrating significant gains in throughput and packet delivery ratio with notable decrements in delay and packet loss. The performance analysis of the proposed approach against software-defined UAVs (U-S) and UAVs as base stations (U-B) verifies the consistency and gains in average throughput while minimizing delay and packet loss. The scalability test of the proposed approach is performed by varying data rates and the number of UAVs.
Original languageEnglish
Article number6680
Number of pages27
JournalSensors (Basel, Switzerland)
Issue number22
Publication statusPublished - 22 Nov 2020


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