An Efficient Transition Algorithm For Seamless Drone Multicasting

TL;DR

This paper introduces ETTA, an efficient trajectory adjustment algorithm for drone multicasting that enhances coverage and reduces interference, ensuring high performance in resource-constrained drone networks.

Contribution

It proposes a novel trajectory adjustment scheme and the ETTA algorithm to optimize drone multicast coverage and performance with minimal resource overhead.

Findings

ETTA outperforms existing methods in high traffic scenarios.

The scheme effectively controls interference and network load.

Simulation results confirm improved multicast reliability.

Abstract

Many drone-related applications (e.g., drone-aided video capture, drone traffic and safety management) require group communications between drones to efficiently disseminate data or reliably deliver critical information, making use of the line-of-sight coverage of drones to realise services that ground devices may not be capable of. This paper studies highperformance yet resource-efficient mobile drone multicasting via trajectory adjustment. We first analyse the trajectory adjustment condition to determine whether a straight-line trajectory is fully covered by the multicast or not, by conducting simple computation tasks and with controlled overhead traffic. We then propose the trajectory adjustment scheme to provide a new trajectory with controlled travel distances. The ETTA algorithm is finally presented to apply the trajectory adjustment condition and scheme to a drone transiting between forwarders whose coverage do not overlap. The algorithm relies on multicasting forwarders, instead of additional transition forwarders, to fully cover the adjusted trajectory, helping to control interference and network traffic load. Our NS2 simulation results demonstrate that ETTA, as compared to other mobile multicasts, can achieve guaranteed performance for drone receivers in a multicast with heavier traffic loads.