TY - GEN
T1 - Minimizing The Global Waiting Time of Swarm UAV Network for Efficient Battery Charging in Persistent Monitoring Scenario
AU - Priandana, Karlisa
AU - Kusuma Dewi Hardhienata, Medria
AU - Atman, Made Widhi Surya
AU - Pramana Lubis, Rinaldy Ansyah
AU - Wulandari,
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Persistent monitoring is important in indoor farming to maintain a safe environment for plant growth. Typically, various static sensors are employed to ensure continuous surveillance within indoor farming. However, these static sensors are susceptible to damage, and repairing them can be time-consuming. Such repairs can disrupt the real-time monitoring process. In this study, we employ Crazyflie swarmUAVs to substitute for malfunctioning static sensors while they undergo repairs or replacements. The primary objective of this research is to develop Ant Colony Optimization (ACO) and Cloud-Based Drone Navigation (CBDN) algorithms to minimize the global waiting time of the swarm UAV network. Simulation results showed that the proposed modified algorithm successfully allocates the Crazyflie UAVs to specific task areas and enables efficient battery charging, thereby minimizing the overall travel time.
AB - Persistent monitoring is important in indoor farming to maintain a safe environment for plant growth. Typically, various static sensors are employed to ensure continuous surveillance within indoor farming. However, these static sensors are susceptible to damage, and repairing them can be time-consuming. Such repairs can disrupt the real-time monitoring process. In this study, we employ Crazyflie swarmUAVs to substitute for malfunctioning static sensors while they undergo repairs or replacements. The primary objective of this research is to develop Ant Colony Optimization (ACO) and Cloud-Based Drone Navigation (CBDN) algorithms to minimize the global waiting time of the swarm UAV network. Simulation results showed that the proposed modified algorithm successfully allocates the Crazyflie UAVs to specific task areas and enables efficient battery charging, thereby minimizing the overall travel time.
KW - Ant colony Optimization
KW - Cloud-Based Drone Navigation
KW - persistent monitoring
KW - Swarm UAV
KW - waiting time
U2 - 10.1109/INCITEST59455.2023.10396909
DO - 10.1109/INCITEST59455.2023.10396909
M3 - Conference contribution
AN - SCOPUS:85185196089
T3 - INCITEST 2023 - Proceedings of the 2023 International Conference on Informatics Engineering, Science and Technology
BT - INCITEST 2023 - Proceedings of the 2023 International Conference on Informatics Engineering, Science and Technology
PB - IEEE
T2 - 2023 International Conference on Informatics Engineering, Science and Technology, INCITEST 2023
Y2 - 25 October 2023
ER -