# Resource-Efficient Seamless Transitions For High-Performance Multi-hop UAV Multicasting

arXiv: https://arxiv.org/abs/2507.04421 · HTML: https://mlsanity.com/paper/2507.04421/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Jul 2025.

## Built on by (most cited first, 1 of 1)

- [Multi-Modal Graph Neural Network-Inspired Vessel Identification and Tracking for UAV-Based Maritime Surveillance](https://mlsanity.com/paper/2610.13220/) (2026)

## Abstract (arXiv)

Many UAV-related applications require group communications between UAVs to reliably and efficiently deliver rich media content as well as to extend line-of-sight coverage between sky and ground. This paper studies fast yet resource-efficient UAV transitions while maintaining high multicasting performance. We develop a set of analytic and algorithmic results to form the efficient transition formation (ETF) algorithm that deals with different UAV transition scenarios in a multicasting environment. The ETF algorithm first evaluates the seamlessness of a straight-line trajectory (SLT), by processing low-complexity computations (e.g., Euclidean distances) or a chain of fast checks with controlled traffic overheads. For an interrupted SLT, ETF establishes a new trajectory consisting of a minimum number of seamless straight lines that join at specially selected locations in terms of controlling mobile UAVs' seamless travel distances. Our simulation studies quantify the multicasting performance gains that ETF allows, outperforming compared studies when seamlessly transiting UAV group members.