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.