Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis

Elena Zaitseva (), Vitaly Levashenko, Ravil Mukhamediev, Nicolae Brinzei, Andriy Kovalenko and Adilkhan Symagulov
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Elena Zaitseva: Department of Informatics, University of Žilina, Univerzitná 8215/1, 01026 Žilina, Slovakia
Vitaly Levashenko: Department of Informatics, University of Žilina, Univerzitná 8215/1, 01026 Žilina, Slovakia
Ravil Mukhamediev: Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan
Nicolae Brinzei: Université de Lorraine, CNRS, CRAN, F-5400 Nancy, France
Andriy Kovalenko: Department of Electronic Computers, Kharkiv National University of Radio Electronics, 61166 Kharkiv, Ukraine
Adilkhan Symagulov: Institute of Information and Computational Technologies, Almaty 050010, Kazakhstan

Mathematics, 2023, vol. 11, issue 11, 1-26

Abstract: Drones, or UAVs, are developed very intensively. There are many effective applications of drones for problems of monitoring, searching, detection, communication, delivery, and transportation of cargo in various sectors of the economy. The reliability of drones in the resolution of these problems should play a principal role. Therefore, studies encompassing reliability analysis of drones and swarms (fleets) of drones are important. As shown in this paper, the analysis of drone reliability and its components is considered in studies often. Reliability analysis of drone swarms is investigated less often, despite the fact that many applications cannot be performed by a single drone and require the involvement of several drones. In this paper, a systematic review of the reliability analysis of drone swarms is proposed. Based on this review, a new method for the analysis and quantification of the topological aspects of drone swarms is considered. In particular, this method allows for the computing of swarm availability and importance measures. Importance measures in reliability analysis are used for system maintenance and to indicate the components (drones) whose fault has the most impact on the system failure. Structural and Birnbaum importance measures are introduced for drone swarms’ components. These indices are defined for the following topologies: a homogenous irredundant drone fleet, a homogenous hot stable redundant drone fleet, a heterogeneous irredundant drone fleet, and a heterogeneous hot stable redundant drone fleet.

Keywords: UAV; drone; fleet; swarm; multi-UAV; reliability; availability; k-out-of-n system; importance analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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