Steady and Energy-Efficient Multi-Hop Clustering for Flying Ad-Hoc Networks (FANETs)

TL;DR

This paper introduces a novel multi-hop clustering algorithm for FANETs that improves stability and energy efficiency by considering UAV mobility, energy levels, and ground station assistance, leading to longer-lasting and more reliable UAV networks.

Contribution

The paper presents a new mobility-aware, energy-centric multi-hop clustering algorithm with ground station assistance tailored for UAV networks, enhancing stability and efficiency.

Findings

Outperforms existing schemes in cluster stability.

Reduces communication overhead.

Improves security resilience.

Abstract

Flying Ad-hoc Networks (FANETs), formed by Unmanned Aerial Vehicles (UAVs), represent an emerging and promising communication paradigm. These networks face unique challenges due to UAVs high mobility, limited energy resources, and dynamic topology. In this work, we propose a novel multi-hop clustering algorithm aimed at creating stable, energy-efficient clusters in FANET environments. The proposed solution enhances cluster longevity and communication efficiency through mobility-aware clustering, energy-centric cluster head (CH) selection, and a ground station(GS)-assisted cluster maintenance management mechanism. First, steady multi-hop clusters are constructed, having CHs with not only high stability and high energy but also with steady and high-energy neighboring areas, and then a proper GS-assisted cluster maintenance mechanism is applied. Experimental results, based on extended simulations, demonstrate that our approach outperforms existing schemes significantly, in terms of cluster stability, communication overhead, and security resilience.