A Dynamic Checkpoint Interval Decision Algorithm for Live Migration-Based Drone-Recovery System

Numerous services and applications have been developed to monitor anomalies or collect various sensing information in large-scale monitoring areas using drones. Nonetheless, interruptions of drone missions such occasionally occur due network errors, low battery levels, physical defects, as damage the rotor propeller. Checkpointing is a technique that periodically saves system’s state, allowing it be restored point event failure. In circumstances, checkpointing techniques can used save related mission replace malfunctioning with saved checkpoint information. this paper, we propose dynamic interval decision algorithm for live migration-based drone-recovery system. The proposed scheme minimizes drone’s energy consumption while efficiently performing checkpointing. According basic experimental results, consumed only about 3.51% more energy, 25.97% operations compared FIC (Fixed Interval Checkpointing) scheme. By scheme, possible increase availability quickly resume missions, minimizing by saving checkpoints frequently. Therefore, improve reliability stability drone-based services.