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All Journal The Indonesian Journal of Computer Science
Raharja, Annisa Amalia
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

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Optimizing Swarm UAV Scheduling for Efficiency in Complex Operations and Collision Avoidance: Optimized Scheduling Strategies for Swarm UAVs in High-Density Airspace Raharja, Annisa Amalia
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4402

Abstract

The use of drones or Unmanned Aerial Vehicle (UAVs) has rapidly evolved across various civil, public, and military applications over the past two decades. Military UAVs have long been used for border surveillance, while civilian UAVs can monitor traffic, provide disaster alerts, and deliver medical supplies. Swarm UAVs, inspired by natural animal colonies such as birds and bees, enable complex flight coordination in disaster situations. To optimize operations, the implementation of scheduling methods for swarm drones is crucial. This method involves scheduling flights based on mission priorities, estimated time of arrival, and drone battery conditions. Effective scheduling ensures operational efficiency and flight safety of drones.
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