Reliability Models of Multi-state UAV-based Monitoring Systems: Mission Efficiency Degradation Issues

Kliushnikov, Ihor; Kharchenko, Vyacheslav; Fesenko, Herman; Zaitseva, Elena; Levashenko, Vitaly

doi:10.1109/idt59031.2023.10194443

Cited by 2 publications

(5 citation statements)

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“…Studies [13], [19] - [22], [26] take into account the possibility of mission implementation by the UAV fleet, but the fleet is not the subject of investigations and mission success is evaluated as the first, and the fleet's reliability and its factors are not examined. The reliability of a UAV fleet is influenced by many factors such as its structure or topology [16], [27], type of redundancy [13], [28], drone characteristics [29], heterogeneity [30], and others.…”

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

“…The type of fleet depending on this aspect is caused by the characteristics and properties of UAVs in a fleet. The fleet is homogenous if all UAVs are identical [26], [30], [32]. But most often, the heterogeneous fleets are used in real-world applications [31], [33].…”

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

“…But most often, the heterogeneous fleets are used in real-world applications [31], [33]. The homogenous UAV fleet based on MSS is considered in [26]. But in this study, the specifics of the system degradation from the point of view of the mission are considered and the calculation of any UAV fleet metrics or indices are not studied.…”

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

“…The availabilities of heterogeneous irredundant fleet of UAVs ( 23) - (26) shows that this structure have not high availability. Similarly with the homogenous structure, the addition of the central control unit decreases the fleet availability ( 25) - (26). The availability of the heterogeneous fleet can be changed using the redundant structures (Table IV).…”

Section: A Case Studymentioning

confidence: 99%

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Availability of UAV Fleet Evaluation Based on Multi-State System

Zaitseva,

Levashenko,

Mysko

et al. 2024

IEEE Access

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Unmanned Aerial Vehicle (UAV) applications are extended extremely. Some applications need to use several UAVs for a general mission which can be considered a UAV fleet. One of the important characteristics for the evaluation of a UAV or UAV fleet is reliability. There are studies in which methods for analysis of their reliability are considered. Reliability analysis of UAV fleets is less frequently studied, although a single UAV cannot be performed in many applications and requires the involvement of multiple UAVs. Typically, this analysis is based on evaluating two states as operational/functioning and faulting. This paper proposes a new method to calculate the availability of a UAV fleet as one of the reliability characteristics. Unlike well-known UAV fleet analysis approaches, in this paper, the availability is studied based on a mathematical model of a Multi-State System (MSS). MSS allows us to examine more than two states (operational and faulty) of the system, so this analysis is more detailed. In this paper, based on MSS, the analysis of various topologies of UAV fleets is implemented. This mathematical model is used for the analysis and evaluation of topologies of homogeneous and heterogeneous UAV fleets, which can be irredundant or redundant hot stable systems. The interpretations of different topologies of fleets as typical structures of MSS (series, parallel, k-out-of-n) are considered. New mathematical definitions of the availability of UAV fleets of different topologies based on MSS structure function are proposed. These definitions allowed us to consider the influence of the number of UAVs on the UAV fleet availability and compare the availabilities of considered topologies of fleets.

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Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

Section: The Problem State Analysis: Methods For Reliability Evaluati...mentioning

confidence: 99%

Section: A Case Studymentioning

confidence: 99%

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Availability of UAV Fleet Evaluation Based on Multi-State System

Zaitseva,

Levashenko,

Mysko

et al. 2024

IEEE Access

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“…In [12,14,15], a possible architecture for joint transmission of URLLC and eMBB types of traffic was explored. The works [16,17] discuss the main scenarios for the implementation of URLLC and eMBB types of traffic service, technical requirements, as well as features of non-orthogonal resource sharing provided that eMBB, mMTC and URLLC consumers are located in the network. Articles [17][18][19] present the results of the study of the effectiveness of various modulation options for orthogonal frequency division multiplexing in the parametric space of their spectral efficiency, reliability, etc.…”

Section: Introduction and State-of-the-artmentioning

confidence: 99%

Evaluation of the QoS policy model of an ordinary 5G smart city cluster with predominant URLLC and eMBB traffic

Kovtun,

Grochla,

Altameem

et al. 2023

PLoS ONE

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A typical element of the smart city’s information and communication space is a 5G cluster, which is focused on serving both new and handover requests because it is an open system. In an ordinary 5G smart city cluster, Ultra-Reliable Low-Latency Communications (URLLC) and enhanced Mobile BroadBand (eMBB) traffic types prevail. The formation of an effective QoS policy for such an object (taking into account the potentially active slicing technology) is an urgent problem. As a baseline, this research considers a Quality of Service (QoS) policy with constraints for context-defined URLLC and eMBB classes of incoming requests. Evaluating the QoS policy instance defined within the framework of the basic concept requires the formalization of both a complete qualitative metric and a computationally efficient mathematical apparatus for its calculation. The article presents accurate and approximate methods of calculating such quality parameters as the probability of loss of typed requests and the utilization ratio of the communication resource, which depend on the implementation of the estimated QoS policy. At the same time, the original parametric space includes both fixed characteristics (amount of available communication resources, load according to request classes) and controlled characteristics due to the specifics of the implementation of the basic QoS concept. The paper empirically proves the adequacy of the presented mathematical apparatus for evaluating the QoS policy defined within the scope of the research. Also, in the proposed qualitative metric, a comparison of the author’s concept with a parametrically close analogue (the well-known QoS policy scheme, which takes into account the phenomenon of reservation of communication resources), determined taking into account the reservation of communication resources, was made. The results of the comparison testify in favour of the superiority of the author’s approach in the proposed metrics.

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Reliability Models of Multi-state UAV-based Monitoring Systems: Mission Efficiency Degradation Issues

Cited by 2 publications

References 20 publications

Availability of UAV Fleet Evaluation Based on Multi-State System

Availability of UAV Fleet Evaluation Based on Multi-State System

Evaluation of the QoS policy model of an ordinary 5G smart city cluster with predominant URLLC and eMBB traffic

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