Factors Determining a Drone Swarm Employment in Military Operations
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Keywords

autonomy
capabilities of drone swarm
command and control models
defense
drone swarm
military operations
anned aerial vehicle

How to Cite

Zieliński, T. (2021). Factors Determining a Drone Swarm Employment in Military Operations. Safety & Defense, 7(1), 59 - 71. https://doi.org/10.37105/sd.112

Abstract

The aim of this study is to identify a drone swarm’s capabilities and the key factors influencing its employment in military operations. The research takes the quantitative analysis of scientific literature related to the technical and operational utilization of drones. The use of drones for military purposes in contemporary world is widespread. They conduct dull, dirty, dangerous and deep military operations replacing manned aviation in many areas. Progressive technological development including artificial intelligence and machine learning allows for the use of military drones in the form of a swarm. It is a quite new technology at the beginning of development. The study indicates that the capabilities of a drone swarm based on communication within the group and autonomy differentiate it from the typical use of unmanned aircraft. Size, diversity, self-configurability and self-perfection amongst the others indicated in literature are attributes of a drone swarm which may give advantage in military operation comparing to the classic use of unmanned aircraft. Emergent coordination as a command and control model of a drone swarm is a future way of utilizing that technology in military operations. In the future, a drone swarm will be a cheaper equivalent of advanced and much more expensive weapon systems conducting combat operations.

https://doi.org/10.37105/sd.112
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References

Arkin, R. (2009). Governing Lethal Behavior in Autonomous Robots. Taylor and Francis Group Publishing.

Arquilla, J., & Ronfeldt, D. (2000). Swarming and the Future of Conflict. RAND Corporation. https://www.rand.org/content/dam/rand/pubs/documented_briefings/2005/RAND_DB311.pdf

Burdick, J.E. (2015). Instantly Basing Locust Swarms. New Options for Future Air Operations (Drew Paper No. 20). AU Press. https://media.defense.gov/2017/Nov/21/2001847261/-1/-1/0/DP_0020_BURDICK_INSTANT_BASING_LOCUST_SWARMS.PDF

Chen, X., Tang, J., & Lao, S. (2020). Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols. Applied Sciences, 10(10:3661). https://doi.org/10.3390/app10103661

Defense Science Board (2016). Report of the Defense Science Board Summer Study on Autonomy. Department of Defense, Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics. https://www.hsdl.org/?view&did=794641

Ekelhof, M., & Paoli, G.P. (2020). Swarm Robotics. Technical and Operational Overview of The Next Generation of Autonomous Systems. United Nations Institute for Disarmament Research. https://unidir.org/sites/default/files/2020-04/UNIDIR%20Swarm%20Robotics%20-%202020.pdf

Grimal, F., & Sundaram, J. (2018). Combat Drones: Hives, Swarms, and Autonomous Action? Journal of Conflict & Security Law, 23(1), 105–135. https://doi.org/10.1093/jcsl/kry008

Ilachinski, A. (2017). AI, Robots, and Swarms. Issues, Questions, and Recommended Studies. CAN Corporation. https://www.cna.org/cna_files/pdf/DRM-2017-U-014796-Final.pdf

Johnson, J. (2020). Artificial Intelligence, Drone Swarming and Escalation Risks in Future Warfare. The RUSI Journal, 165(2), 1–11. https://doi.org/10.1080/03071847.2020.1752026

Kallenborn, Z. (2020). Are Drone Swarms Weapons of Mass Destruction? (Future Warfare Series No. 60). AU Press. https://media.defense.gov/2020/Jun/29/2002331131/-1/-1/0/60DRONESWARMS-MONOGRAPH.PDF

Martinic, G. (2020). Swarming, Expendable, Unmanned Aerial Vehicles as a Warfighting Capability. Canadian Military Journal, 20(4), 43–49. http://www.journal.forces.gc.ca/vol20/no4/PDF/CMJ204Ep43.pdf

McLaughlan, B. & Hexmoor, H. (2011). Emergent command and control architecture for dynamic agent communities. Journal of Experimental & Theoretical Artificial Intelligence, 23(4), 363–387. https://doi.org/10.1080/09528130701664608

NATO Standardization Office (2020). ATP-3.3.8.2 Unmanned Aircraft System Tactics, Techniques And Procedures. NATO Standardization Office. https://nso.nato.int/nso/

OUSD(A&S) (2018). Unmanned Systems Integrated Roadmap 2017–2042. United States. Office of the Under Secretary of Defense for Acquisition and Sustainment. https://www.defensedaily.com/wp-content/uploads/post_attachment/206477.pdf

Rossiter, R. (2018). Drone usage by militant groups: exploring variation in adoption. Defense & Security Analysis, 34(2), 113–126. https://doi.org/10.1080/14751798.2018.1478183

Scharre, P. (2014). Robotics on the Battlefield, Part II: The Coming Swarm. Center for a New American Security. https://www.files.ethz.ch/isn/184587/CNAS_TheComingSwarm_Scharre.pdf

Scharre, P. (2016). Autonomous Weapon and Operational Risk. Center for a New American Security. https://s3.amazonaws.com/files.cnas.org/documents/CNAS_Autonomous-weapons-operational-risk.pdf

Sterritt R., & Hinchey, M. G.(2005). Apoptosis and self-destruct: A contribution to autonomic agents? In Hinchey, M.G., Rash, J.L., Truszkowski, W.F. & Rouff, C.A. (Eds.), Formal Approaches to Agent-Based Systems (pp. 269–278). Springer. https://www.springer.com/gp/book/9783540244226

Suzuki, S. (2018). Recent researches on innovative drone technologies in robotics field. Advanced Robotics, 32(19), 1008–1022. https://doi.org/10.1080/01691864.2018.1515660

Tan Y., & Zheng, Z. (2013). Research Advance in Swarm Robotics. Defence Technology, 9(1), 18–39. https://doi.org/10.1016/j.dt.2013.03.001

Truszkowski, W. F., Hinchey, M. G., Rash, J.L. & Rouff, C. A. (2006). Autonomous and autonomic systems: a paradigm for future space exploration missions. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 36(3),279–291.https://doi.org/10.1109/TSMCC.2006.871600

U.S. Department of Defense (2017). Directive 3000.09: Autonomy in Weapon Systems. U.S. Department of Defense. https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/300009p.pdf.

Wallach, W. (2017). Toward a Ban on Lethal Autonomous Weapons: Surmounting the Obstacles. Communications of the ACM, 60(5), 28–34. https://doi.org/10.1145/2998579

Willis, M., Haider, A., Teletin, D.C., Wagner, D. (2021). A Comprehensive Approach to Countering Unmanned Aircraft Systems. Joint Air Power Competence Centre. https://www.japcc.org/wp-content/uploads/A-Comprehensive-Approach-to-Countering-Unmanned-Aircraft-Systems.pdf

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