Distributed Simulation Environment of Unmanned Aerial Systems for a Search Problem

Skrzypecki, Stanisław; Pierzchała, Dariusz; Tarapata, Zbigniew

doi:10.1007/978-3-030-14984-0_6

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…The presented procedure of the simulation tests allows for optimizing both the selection of the location system parameters and the data processing in the SDF method. However, the impact of the additional factors related to UAV swarm management and control requires the implementation of this procedure in dedicated simulation environments such as [60,61].…”

Section: Discussionmentioning

confidence: 99%

Effectiveness of Mobile Emitter Location by Cooperative Swarm of Unmanned Aerial Vehicles in Various Environmental Conditions

Kelner

Ziółkowski

2020

Sensors

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This paper focused on assessing the effectiveness of the signal Doppler frequency (SDF) method to locate a mobile emitter using a swarm of unmanned aerial vehicles (UAVs). Based on simulation results, we showed the impact of various factors such as the number of UAVs, the movement parameters of the emitter and the sensors on location effectiveness. The study results also showed the dependence of the accuracy and continuity of the emitter coordinate estimation on the type of propagation environment, which was determined by line-of-sight (LOS) or non-LOS (NLOS) conditions. The applied research methodology allowed the selection of parameters of the analyzed location system that would minimize the error and maximize the monitoring time of the emitter position.

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Section: Discussionmentioning

confidence: 99%

Effectiveness of Mobile Emitter Location by Cooperative Swarm of Unmanned Aerial Vehicles in Various Environmental Conditions

Kelner

Ziółkowski

2020

Sensors

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“…Prince et al 35 used HLA to integrate the hierarchical suite of simulation models to construct a JMASS-JWARS federation that supports MR modeling of a weapon system and its subsystems in a JIMASS engineering and engagement model environment. Based on the distributed simulation, MAS, and MR modeling, Skrzypecki et al 36 took HLA as the interoperability protocol and performed studies on UAV modeled as a swarm with determined, autonomous, combined behaviors.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on co-simulation of multi-resolution models based on HLA

Cao

2022

SIMULATION

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Intelligence, hierarchy, and multi-resolution (MR) modeling are vital to the complex system simulation. Based on the proposed MR-Agent-Discrete EVent System (MR-Agent-DEVS) specification, this paper discusses the co-simulation of MR models under high-level architecture (HLA). First, the structure and formal description of MR-Agent-DEVS federate models were proposed. The communication mechanism and simulation process of MR-Agent-DEVS federate models were analyzed. Finally, an example of distributed interactive simulation for emergency material supply was given. The results of the simulation test show that HLA enhances the reusability of MR-Agent-DEVS models, knowledge updating and model coupling enrich the interoperability of MR-Agent-DEVS models, and the real-time memory of knowledge base in Agent ensures the consistency of MR-Agent-DEVS models in aggregation and disaggregation.

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Machine Learning-Based Open Framework for Multiresolution Multiagent Simulation

Pierzchała

Czuba

2020

Modelling and Simulation for Autonomous Systems

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Distributed Simulation Environment of Unmanned Aerial Systems for a Search Problem

Cited by 5 publications

References 6 publications

Effectiveness of Mobile Emitter Location by Cooperative Swarm of Unmanned Aerial Vehicles in Various Environmental Conditions

Effectiveness of Mobile Emitter Location by Cooperative Swarm of Unmanned Aerial Vehicles in Various Environmental Conditions

Research on co-simulation of multi-resolution models based on HLA

Machine Learning-Based Open Framework for Multiresolution Multiagent Simulation

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