Deterministic bound for avionics switched networks according to networking features using network calculus

He, Feng; Li, Ershuai

doi:10.1016/j.cja.2017.08.010

Cited by 11 publications

(3 citation statements)

References 24 publications

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“…The reference nodes and task relationships were combined together to design the multilevel reference node group mobility (ML-RNGM) model, for better real-time performance guarantee for task and mission and better network connectivity. For the inner real-time performance evaluation of a UAV, literature [34,35] gave general schemas to solve it.…”

Section: Reference Point Group Mobilitymentioning

confidence: 99%

Group Mobility Model for Complex Multimission Cooperation of UAV Swarm

Xiao-yan

Wang

et al. 2022

International Journal of Aerospace Engineering

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In the unmanned aerial vehicle (UAV) swarm combat system, multiple UAVs’ collaborative operations can solve the bottleneck of the limited capability of a single UAV when they carry out complicated missions in complex combat scenarios. As one of the critical technologies of UAV collaborative operation, the mobility model is the basic infrastructure that plays an important role for UAV networking, routing, and task scheduling, especially in high dynamic and real-time scenarios. Focused on real-time guarantee and complex mission cooperative execution, a multilevel reference node mobility model based on the reference node strategy, namely, the ML-RNGM model, is proposed. In this model, the task decomposition and task correlation of UAV cluster execution are realized by using the multilayer task scheduling model. Based on the gravity model of spatial interaction and the correlation between tasks, the reference node selection algorithm is proposed to select the appropriate reference node in the process of node movement. This model can improve the real-time performance of individual tasks and the overall mission group carried out by UAVs. Meanwhile, this model can enhance the connectivity between UAVs when they are performing the same mission group. Finally, OMNeT++ is used to simulate the ML-RNGM model with three experiments, including the different number of nodes and clusters. Within the three experiments, the ML-RNGM model is compared with the random class mobility model, the reference class mobility model, and the associated class mobility model for the network connectivity rate, the average end-to-end delay, and the overhead caused by algorithms. The experimental results show that the ML-RNGM model achieves an obvious improvement in network connectivity and real-time performance for missions and tasks.

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Section: Reference Point Group Mobilitymentioning

confidence: 99%

Group Mobility Model for Complex Multimission Cooperation of UAV Swarm

Xiao-yan

Wang

et al. 2022

International Journal of Aerospace Engineering

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“…The upper boundary of the transmission delay for a packet flow passing through a given switch is obtained by measuring the maximum horizontal distance between the traffic envelope of the packet flow and the service curve of the given switch. 23,24) The difference between the best and worst transmission delays at a switch is used as the input jitter at the next switch along the transmission path. The calculation propagates from the ingress point to the egress point, and the worst-case end-to-end transmission delay can be computed; thus, the network transmission performance can be evaluated.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation on Packet Transmission for Distributed Real-time Avionics Networks Using Forward End-to-End Delay Analysis

Yang

2021

Trans. Japan Soc. Aero. S Sci.

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“…The industry standard ARINC 653 [6] standardized a partitioned software architecture for IMA; it defined the application executive (APEX) interface which ensures the spatial and temporal partitioning of the avionics functions. Taking the communication needs of each function into account, Tu et al [7] and He and Li [8] proposed the concept of network partition to allocate specified network bandwidth for each function. Zhou et al [9] and Zhou and Xiong [10] proposed a resource allocation method for different functions to meet their various needs.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis of the Reconfigurable Integrated Modular Avionics Using the Continuous-Time Markov Chains

Zhao

Wang

Yan

2018

International Journal of Aerospace Engineering

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The integrated modular avionics (IMA) has been widely deployed on the new designed aircraft to replace the traditional federated avionics. Hosted in different partitions which are isolated by the virtual boundaries, different functions are able to share the common resources in the IMA system. The IMA system can dynamically reconfigure the common resources to perform the hosted functions when some modules fail, which makes the system more robust. Meanwhile, the reliability of the reconfigurable integrated modular avionics becomes more complicated. In this paper, we firstly model the IMA as a joint (m,k)-failure tolerant system with the consideration of its reconfigurable capability. Secondly, the continuous-time Markov chains are introduced to analyze the reliability of the IMA system. Thirdly, we take the comprehensive display function hosted in the IMA system as an example to show the practical use of the proposed reliability analysis model. Through the parameter sensitivity analysis, different failure rate λ and priority order of different modules are chosen to analyze their impact on system reliability, which can provide guidance to improve the reliability of the IMA system during a dynamic reconstruction process and optimize resource allocation.

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Deterministic bound for avionics switched networks according to networking features using network calculus

Cited by 11 publications

References 24 publications

Group Mobility Model for Complex Multimission Cooperation of UAV Swarm

Group Mobility Model for Complex Multimission Cooperation of UAV Swarm

Performance Evaluation on Packet Transmission for Distributed Real-time Avionics Networks Using Forward End-to-End Delay Analysis

Reliability Analysis of the Reconfigurable Integrated Modular Avionics Using the Continuous-Time Markov Chains

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