Achieving Data Interoperability of Communication Interfaces for Combat System Engineering

Seo, Kyung-Min; Park, Kwang-Phil; Lee, Bum-Jik

doi:10.1109/access.2017.2739922

Cited by 11 publications

(18 citation statements)

References 25 publications

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“…However, all of these models focus on the exchange of information between systems and potential factors that could impact this exchange. Seo, Park, and Lee propose an interoperability verification and validation tool set for combat systems; however, this tool set focuses on information exchanges between systems . They go as far as to limit the definition of interoperability for their work to: “the ability of two or more system components to exchange information via the communication interfaces.” The manual for the Joint Capability Integration and Development System (JCIDS) narrowly focuses interoperability on the Net‐Centric KPP that describes a system's ability to enter and operate within the DoD networks .…”

Section: Literature Reviewmentioning

confidence: 99%

“…Seo, Park, and Lee propose an interoperability verification and validation tool set for combat systems; however, this tool set focuses on information exchanges between systems . They go as far as to limit the definition of interoperability for their work to: “the ability of two or more system components to exchange information via the communication interfaces.” The manual for the Joint Capability Integration and Development System (JCIDS) narrowly focuses interoperability on the Net‐Centric KPP that describes a system's ability to enter and operate within the DoD networks . It is sufficient to say that the DoD's focus on information flows to define interoperability neglects to consider other aspects of interoperability like physical connections or shared resources.…”

Section: Literature Reviewmentioning

confidence: 99%

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Understanding the importance of expanding the definition of interoperability through social network analysis

Enos

Nilchiani

2019

Systems Engineering

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Over the past decade, the Department of Defense (DoD) developed an emergent network of systems that operate together on the battlefield to provide value to the DoD. Advances in systems engineering have enabled the DoD to develop better, more integrated, and more complex systems in this time frame. One of the emerging topics in systems engineering is the importance of nonfunctional attributes captured in the ilities of a system. One of these ilities, interoperability, captures the ability of a system to operate with other systems as DoD systems do on the battlefield. This article applies social network analysis tools and methods to understand the effect of expanding the definition of interoperability beyond information flows to include shared resources and physical connections. Social network analysis metrics, such as density and average degree, quantify the effect of expanding interoperability to capture other aspects of interoperability. By capturing these additional aspects of interoperability, the number of connections in the DoD network of systems increases by nearly a factor of four. Thus, if the ility of interoperability narrowly focuses on information flows, then systems engineers could potentially miss a large number of important connections in a network of systems.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Understanding the importance of expanding the definition of interoperability through social network analysis

Enos

Nilchiani

2019

Systems Engineering

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“…In this respect, the DSME has carried out several tests to resolve interface faults using the proposed method and software at the design phase as well as the integration phase. More detailed descriptions for this PIP were informed in our previous work [12]. Table 5, the proposed modeling and software have been utilized for nine shipboard tests over the last three years.…”

Section: Applicationmentioning

confidence: 99%

“…In order to transfer sensitive information, a sending system encodes interface data (i.e., messages) so only authorized receivers can understand [11]. The encoding rules contain what payloads (i.e., fields in this study) are structured in a message or how each field is logically converted, which are described in the interface protocols [12]. Because the protocols including the structural and logical rules are diverse and complicated, they should be preferentially explored for overcoming the interface faults.…”

Section: Introductionmentioning

confidence: 99%

Interface Data Modeling to Detect and Diagnose Intersystem Faults for Designing and Integrating System of Systems

Seo

Park

2018

Complexity

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In system of systems engineering, system integrators are in charge of compatible and reliable interfaces between subsystems. This study explains a systematic solution to identify and diagnose interface faults during designing and integrating systems of systems. Because the systems targeted in this study are real underwater vessels, we first have anatomized 188 interface data transferred between 22 subsystems of them. Based on this, two interface data models are proposed, which include data sets regarding messages and inner fields and transition and decision functions for them. Specifically, a structure model at the message level evaluates how inner fields belong to a message, and a logic model at the field level assesses how each field is interpreted and if the interpreted value is understandable. The software that supports the modeling is implemented using the following concepts: (1) a model-view-viewmodel pattern for overall software design and (2) a computer network for representing sequential properties of field interpretations. The proposed modeling and software facilitate diagnostic decisions by checking the consistency between interface protocols and obtained real data. As a practical use, the proposed work was applied to an underwater shipbuilding project. Within 10 interfaces, 14 fault cases were identified and diagnosed. They were gradually resolved during the system design and integration phases, which formed the basis of successful submarine construction.

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“…Then, the engineer interacts with the two systems under standardized architectures such as high-level architecture (HLA) or test and training enabling architecture [9,10]. This is a typical approach for system of systems (SoS) development, which supports the high reality of component systems and flexibility in changing them [11,12].…”

Section: Introductionmentioning

confidence: 99%

Communication Analysis of Network‐Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network

2018

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Communication system in the network-centric warfare (NCW) has been analyzed from the perspective of the system of systems (SoS), which consists of a combat system and a network system so that the two reflect each other’s effects. However, this paradoxically causes a prolonged execution time. To solve this problem, this paper proposes an advanced integrated modeling method for the communication analysis in the NCW via the transformation of the SoS, which reduces the simulation execution time while ensuring the accuracy of the communication effects. The proposed models mainly cover interentity traffic and intraentity mobility developed in the form of feed-forward neural networks to guarantee two-way interactions between the combat system and the network system. Because they are characterized as discrete events, the proposed models are designed with the discrete-event system specification (DEVS) formalism. The experimental results show that the proposed transformation reduced an error by 6.40% compared to the existing method and reduced the execution time 3.78-fold compared to the SoS-based NCW simulation.

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Achieving Data Interoperability of Communication Interfaces for Combat System Engineering

Cited by 11 publications

References 25 publications

Understanding the importance of expanding the definition of interoperability through social network analysis

Understanding the importance of expanding the definition of interoperability through social network analysis

Interface Data Modeling to Detect and Diagnose Intersystem Faults for Designing and Integrating System of Systems

Communication Analysis of Network‐Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network

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