A Domain-Specific Language for Modeling IoT System Architectures That Support Monitoring

Erazo-Garzon, Lenin; Cedillo, Priscila; Rossi, Gustavo; Moyano, José

doi:10.1109/access.2022.3181166

Cited by 17 publications

(11 citation statements)

References 32 publications

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“…In this step, it is difficult to use standard SysML diagrams since defining a swarm mission on ROS requires new properties and attributes of the swarm system. 41 For these reasons, we develop a new diagram that we call ''Swarm Mission Diagram (SMD)'' using the domain specific language DSL that describes the mission through the concepts and attributes of ROS (nodes, topics, services and actions). ROS is characterized by three types of communication: services, topics, and actions.…”

Section: Phase 1: Modeling Using Mbse Methodsmentioning

confidence: 99%

An integrated Design Methodology for Swarm Robotics using Model-Based Systems Engineering and Robot Operating System

Aloui,

Guizani,

Hammadi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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In swarm robotics, robots solve problems using collective behaviors similar to those observed in natural systems, such as birds, bees or fish. They determine their collective behavior through several simple interactions. However, the behavior of swarms emerging from local interactions remains difficult to predict. When trying to design swarm robotic systems for real applications, researchers are confronted with a wide range of software and hardware challenges in the different phases of the design process; problems related to the modeling of swarm systems, related to simulation, related to implementation on software and even on real systems, etc. Despite the increasing popularity of swarm robotics, designing effective and scalable swarm systems remains a challenging task due to the complex interactions between the individual robots and the environment. Therefore, there is a need for a systematic and comprehensive methodology that can guide designers in developing swarm robotics systems that are efficient, reliable, and adaptable to different scenarios. Our main contribution is to propose a new integrated methodology for the development of swarm robot systems. This methodology is based on modeling with Model-Based Systems Engineering method (MBSE) to specify the requirements and the collective behaviors of the swarms, then on the verification of the developed models and finally on the validation of the swarm system by physical prototyping with real robots. Our contribution also focuses on the development of a new SysML profile using the Domain Specific Language (DSL) that we call SwarmML to customize the functional and structural modeling of a swarm system (properties and attributes of the swarm). Two case studies are applied to validate our methodology; a case study of an aggregation of a swarm of robots and a case study of a collaborative simultaneous localization and mapping application (C-SLAM) performed by a swarm of Turtlebots. The novelty of this proposed methodology is the combination of SysML and Robot Operating System (ROS) to address the management of traceability between the different levels of swarm system design, in order to achieve functional, physical and software integration.

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Section: Phase 1: Modeling Using Mbse Methodsmentioning

confidence: 99%

An integrated Design Methodology for Swarm Robotics using Model-Based Systems Engineering and Robot Operating System

Aloui,

Guizani,

Hammadi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

“…There are several challenges in modeling multi-layered IoT systems. One of the main challenges is the system's complexity, which can involve many interconnected components, each with its own set of characteristics and behaviors [26]. This can make it challenging to develop a comprehensive model that captures all of the relevant factors that influence the functional and behavioral aspects of the system.…”

Section: Rp3: Supporting Modeling Of Multi-layered Iot Systemsmentioning

confidence: 99%

“…Engineering platforms such as MonitorIoT [26], MDE4IoT [36], IoTML [39] and MontiThings [17] (to name a few), have presented potential DSLs able to realistically tackle the high degree of heterogeneity in their hardware devices, data sources, protocols, deployment levels for developing scalable IoT systems. However, developing IoT code generators that are perfectly capable of handling large models and generates full-functional code is still an open issue.…”

Section: Domain Specific Languages In Iotmentioning

confidence: 99%

“…Erazo-Garzón L. et al [26] presented Monitor-IoT, a graphical designer (high-level visual language) built in the Obeo Designer Community and Eclipse Sirius tools to support developers in modeling IoT multi-layer monitoring architectures with a high level of abstraction, expressiveness, and flexibility. Monitor-IoT supports the definition of computing nodes and their resources that support the monitoring processes (data collection, transport, processing, and storage) at the edge, fog, and cloud layers.…”

Section: Model-driven Design and Development Of Iot Systemsmentioning

confidence: 99%

“…3. As it can be seen from Table 6.2, the majority of approaches support modeling at the edge layer elements, namely components such as sensors/actuators, computing boards, and so on [17,26,36,89,225]. Except for IoT-ML [39], which exclusively focuses on the functional aspects targeting cloud-based resource allocation, other platforms offer even more advanced design mechanisms, such as run-time self-adaptation [36,225] as well as runtime error handling capabilities [17,26] at the edge.…”

Section: Iot Modeling Supportmentioning

confidence: 99%

See 2 more Smart Citations

Low-Code Engineering for the Internet of Things

Ihirwe

2023

SSRN Journal

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Model-Driven Engineering Applied to User Interfaces. A Systematic Literature Review

Erazo-Garzon

Suquisupa

Bermeo

et al. 2023

Communications in Computer and Information Science

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A Domain-Specific Language for Modeling IoT System Architectures That Support Monitoring

Abstract: through the Project "Fog Computing applied to the monitoring of devices used in assisted living environment", Grant XVIII-2018.

Cited by 17 publications

References 32 publications

An integrated Design Methodology for Swarm Robotics using Model-Based Systems Engineering and Robot Operating System

An integrated Design Methodology for Swarm Robotics using Model-Based Systems Engineering and Robot Operating System

Low-Code Engineering for the Internet of Things

Model-Driven Engineering Applied to User Interfaces. A Systematic Literature Review

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