Synchronization Abstractions and Separation of Concerns as Key Aspects to the Interoperability in IoT

Moreno, Márcio Ferreira; Cerqueira, Renato; Colcher, Sérgio

doi:10.1007/978-3-319-52727-7_4

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…LQR models are a means of finding the most suitable parabolic equation for a given data set. The LQR model can be expressed using equation [7] to estimate CS. The stability of the proposed scheme can be assessed by calculating the correlation coefficient (C r ) and applying the following standards represented in table 9.…”

Section: Model Stability Evaluationmentioning

confidence: 99%

“…IoT applications relies on Internet for both visualization as well as communication for connecting the physical world and virtual/ digital world [6]. This broad interconnection facilities provided by the IoT application brings forward the problem of interoperability among different entities with heterogeneous resources [7]. Many industrial IoT applications relies mainly on accurate coordination among sensors, actuators, and effectors.…”

Section: Introductionmentioning

confidence: 99%

“…A UNICEF report published in 2016 [6] highlighted India as one of the countries with the highest risks for neonates, especially in low-income regions where health mortality rates are higher. In such scenarios, providing quality care while reducing nursing staff shortages and costs is a primary concern [7]. The rise in the global ageing population and prevalence of chronic illnesses have also become major issues.…”

Section: Introductionmentioning

confidence: 99%

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An improved clock synchronization model for typical IoT applications

Upadhyay,

Dubey

2024

Eng. Res. Express

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— The Internet of Things (IoT) has transformed the way people live their lives by enabling data exchange between pervasive devices in various applications. However, clock synchronization is essential to ensure seamless transmission and synchronization among IoT entities involved in processing and communication. In this paper, we propose a clock synchronization algorithm based on linear quadratic regression to address synchronization errors in IoT applications. The algorithm uses a linear model of skew and offset to estimate clock parameters, and performance is evaluated in terms of Root Mean Square Error (RMSE) and R-Square Error. Our proposed algorithm outperformed traditional algorithms with an RMSE of 0.379% and an R-Square Error of 0.71%. We also evaluated the stability of the proposed model using the correlation coefficient, which indicated a high correlation between the variables at 86%. These results demonstrate the effectiveness of our proposed algorithm in addressing clock synchronization errors for IoT applications.

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Section: Model Stability Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An improved clock synchronization model for typical IoT applications

Upadhyay,

Dubey

2024

Eng. Res. Express

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“…(2015), Masood,W, Schmidt,J.F.,Brandner,G.,Bettstetter,C. (2017), Moreno,M.F.,Cerqueira,R.,Colcher,S. (2016), Singh,R.K.,Berkvens,R.,Weyn,M.…”

Section: Existing Approaches To Time Synchronization In Local Network...mentioning

confidence: 99%

Time Synchronization Mechanisms for Spacefibre Networks and Their Implementations

Suvorova

2022

International Journal of Embedded and Real-Time Communication Systems

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Most onboard embedded systems have real-time requirements. The SpaceFibre standard is developed for onboard local networks. However, the current version of the SpaceFibre standard does not specify any time synchronization mechanisms. The authors consider the mechanisms of time synchronization that are used in the data transmission standards, which are currently used for networks with real-time requirements. In the paper, the authors proposed possible time synchronization mechanisms for the SpaceFibre network, evaluate their characteristics. The authors proposed dynamically reconfigurable Local time controller for implementation of these mechanisms with ASIC.

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“…This emerging communication and computing paradigm is often referred to as Internet of Things (IoT), and it utilizes the Internet as both communication and virtualization platform to link the physical world to the information (virtual) world [ 1 ]. The broad interconnection possibilities supported by the IoT brings forth interoperability problems between different objects with heterogeneous capabilities [ 2 ]. In a typical IoT deployment, three different networks are taking part as shown in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

Overview of Time Synchronization for IoT Deployments: Clock Discipline Algorithms and Protocols

Yi̇ği̇tler

Badihi

Jäntti

2020

Sensors

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Internet of Things (IoT) is expected to change the everyday life of its users by enabling data exchanges among pervasive things through the Internet. Such a broad aim, however, puts prohibitive constraints on applications demanding time-synchronized operation for the chronological ordering of information or synchronous execution of some tasks, since in general the networks are formed by entities of widely varying resources. On one hand, the existing contemporary solutions for time synchronization, such as Network Time Protocol, do not easily tailor to resource-constrained devices, and on the other, the available solutions for constrained systems do not extend well to heterogeneous deployments. In this article, the time synchronization problems for IoT deployments for applications requiring a coherent notion of time are studied. Detailed derivations of the clock model and various clock relation models are provided. The clock synchronization methods are also presented for different models, and their expected performance are derived and illustrated. A survey of time synchronization protocols is provided to aid the IoT practitioners to select appropriate components for a deployment. The clock discipline algorithms are presented in a tutorial format, while the time synchronization methods are summarized as a survey. Therefore, this paper is a holistic overview of the available time synchronization methods for IoT deployments.

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Synchronization Abstractions and Separation of Concerns as Key Aspects to the Interoperability in IoT

Cited by 4 publications

References 10 publications

An improved clock synchronization model for typical IoT applications

An improved clock synchronization model for typical IoT applications

Time Synchronization Mechanisms for Spacefibre Networks and Their Implementations

Overview of Time Synchronization for IoT Deployments: Clock Discipline Algorithms and Protocols

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