Power-efficient Joint Link Selection and Multi-hop Routing for Throughput Maximization in UAV Assisted FANETs

TL;DR

This paper proposes a power-efficient joint link selection and multi-hop routing scheme for UAV-assisted FANETs, maximizing network throughput through a novel optimization approach.

Contribution

It introduces a decoupled optimization framework for joint routing and link selection in UAV networks, addressing the NP-hard problem efficiently.

Findings

Significant throughput improvement over benchmark schemes

Effective joint optimization of routing and link selection

Decoupled convex subproblems enable practical solutions

Abstract

This paper considers a multi-UAV network with a ground station (GS) that uses multi-hop relaying structure for data transmission in a power-efficient manner. The objective is to investigate the best possible multi-hop routing structure for data transmission to maximize the overall network throughput of a flying ad-hoc network (FANET) of UAVs. We formulate a problem to jointly optimize the multi-hop routing structure with the communication link selection for a given power budget so that the overall network throughput can be maximized. It appears that the formulated problem belongs to a class of nonconvex and integer optimization problems, thus making it NP-hard. To solve this problem efficiently, it is decoupled into two subproblems $\textbf{i)}$ power allocation with known Bellman Ford-based multi-hop routing structure and $\textbf{ii)}$ link selection problem. Further, these two subproblems are independently converted into convex problems by relaxation and solved in tandem for the best suboptimal solution to the main problem. Simulation results indicate that the proposed multi-hop routing schemes can achieve a significant improvement in network throughput compared to the other benchmark scheme.