Drones are embedded systems used across a wide range of fields, however, their limited battery life and high energy consumption are very important challenges, especially in networked systems, where multiple drones must communicate with a Ground Base Station (GBS). This study addresses these limitations by proposing a bio-inspired leader-based energy management system for drone fleets that dynamically chooses a cluster’s leader to handle long-range communication with the GBS, allowing other drones to preserve their energy. The results demonstrate that our approach significantly increases network efficiency and service time by removing useless communications.

A Bio-inspired Leader-Based Energy Management System for Drone Fleets

Rosario Napoli;Antonio Celesti;Massimo Villari;Maria Fazio
2025-01-01

Abstract

Drones are embedded systems used across a wide range of fields, however, their limited battery life and high energy consumption are very important challenges, especially in networked systems, where multiple drones must communicate with a Ground Base Station (GBS). This study addresses these limitations by proposing a bio-inspired leader-based energy management system for drone fleets that dynamically chooses a cluster’s leader to handle long-range communication with the GBS, allowing other drones to preserve their energy. The results demonstrate that our approach significantly increases network efficiency and service time by removing useless communications.
2025
9783031846168
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3354609
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