Energy Efficient Mission Control of Unmanned Intelligent Swarm Systems

Banu Kabakulak ()
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Banu Kabakulak: İstanbul Bilgi University

A chapter in Handbook of Smart Energy Systems, 2023, pp 2025-2044 from Springer

Abstract: 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.

Keywords: Swarm missions; Unmanned systems; Energy-aware optimization (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_129

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DOI: 10.1007/978-3-030-97940-9_129

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