Abstract
The unmanned vehicles capture increasing attendance in the last few decades since they can be used in a wide variety of applications on the ground, air, or sea. The unmanned systems, which avoid dangerous cases for humans, are especially preferred for high-risk missions such as battlefield surveillance. Evolving technologies on the swarms of unmanned systems allow low cost and quick execution of various missions easily by cooperation. As an example, a large agricultural area can be scanned by a swarm of drones in a shorter time to detect abnormalities. However, unmanned systems have limited energy resources such as battery or fuel. Hence, it is of critical importance for swarm missions of unmanned systems to be planned optimally in terms of scarce energy resources. In this chapter, we give some background technical information about the unmanned systems and explain swarm mission problems with their solution methods. We also mention some useful softwares for implementation of the swarm systems with some concluding remarks on the future research tracks on the swarm missions.
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Acknowledgments
The author acknowledges her former undergraduate student Bashar Aloush for providing Tello swarm flight experiments (see Sect. 2.1) and her undergraduate project students Eren Oguz, Oguz Süllü, and Deniz Taylan Yildiz for their swarm mission animation (see Sect. 4.1). The author also thanks to Can Çolakoglu for his encouragement and motivation provided on studying intelligent swarm systems.
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Kabakulak, B. (2022). Energy Efficient Mission Control of Unmanned Intelligent Swarm Systems . In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-72322-4_129-1
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DOI: https://doi.org/10.1007/978-3-030-72322-4_129-1
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