Empowering SDN-Docker Based Architecture for Internet of Things Heterogeneity

Bedhief, Intidhar; Kassar, Meriem; Aguili, Taoufik

doi:10.1007/s10922-022-09702-3

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…The edge data acquisition subsystem includes on-site data acquisition and data processing and analysis modules, the data acquisition of the vibration sensor is realized by using the STM32 on-chip AD function [23]. The data collector is connected with the gateway through RS232, and transmits data by serial communication.…”

Section: System Hardware Design and Implementationmentioning

confidence: 99%

“…Figure 3.5 displays the median time taken for transmitting 10 data packets with varying client counts and quality settings on a RaspberryPi. 4.1 shows the average delay, minimum delay and maximum delay of 10 packets tested by a single client under different quality requirements and different packet volumes under different hardware terminals [22,23].…”

Section: System Testing and Analysismentioning

confidence: 99%

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Computer Hardware and Network Data Transmission based on Internet of Things Communication Technology

Wang

2023

SCPE

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In order to meet the requirements of computer hardware and network data transmission security, a research based on Internet of Things communication technology is proposed. The main content of this research is the research based on the communication technology of the Internet of Things, through the description of the communication protocol of the Internet of Things, the system hardware design and implementation methods are used, and finally the research method based on the communication technology of the Internet of Things is constructed through experiments and analysis. The core technologies of 5G connectivity are being used to construct the IOT. As a result, the IOT might gain momentum. The experimental findings demonstrate that the delays are all within 200 Ms. When the message size is short (within 1KB), the transmission of diverse hardware is average, and the transmission quality standards of QoS1 are fulfilled. The transmission quality standards of QoS1 can match the communication reliability and security needs of the Internet of Things. This article evaluates the performance of data transfers with lengths of 20 byte, 30 byte, 50 byte, and 70 byte, respectively. This paper evaluates the efficiency of Wi-Fi access configuration by sending data packets of varying sizes i.e., 10 bytes, 30 bytes, 50 bytes, and 70 bytes over a distribution network. The results show that, on average, the network takes 0.6692s, 1.3546s, 2.8600s, and 4.7319s to deliver each packet, with success rates of 100% in each case. The system's increased network distribution efficiency is observed from the experimentation. The research based on the Internet of Things communication technology can meet the needs of computer hardware and network data transmission security.

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Section: System Hardware Design and Implementationmentioning

confidence: 99%

Section: System Testing and Analysismentioning

confidence: 99%

Computer Hardware and Network Data Transmission based on Internet of Things Communication Technology

Wang

2023

SCPE

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“…Furthermore, proposed technologies must be able to process different variables to meet the requirements of IoT applications. In order to meet the requirements of IoT applications, which may provide complex services based on multiple parameters such as user behavior, energy management, and home temperature relative to external temperature [124].…”

Section: B Heterogeneity Of Data Sourcesmentioning

confidence: 99%

Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions

Yalli,

Hasan,

Haron

et al. 2023

IJACSA

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The Internet of Things (IoT) data is the main component for finding the basis that allows decisions to be made intelligently and enables other services to be explored and used. Data originates from smart things that have the capabilities to connect and share data enormously with other things in the IoT ecosystem. However, the level of intelligence obtained and the type of services provided, all depend on whether the data is trusted or not. High-quality data is the most trusted;, it can be used to extract meaningful insights from an event and can also be used to provide good services to humans. Therefore, decisions based on high-quality and trusted data could be good, whereas those based on low-quality or untrusted data are not only bad but could also have severe consequences. The term Quality of Data (QoD) is used to represent data trustworthiness and is used throughout this paper. To the best of our knowledge, this work is the first to coin the term QoD. The problems that hinder QoD are identified and discussed. One if it is an outlier, it is a major feature of the data that degrades its overall quality. Several machine-learning techniques that detect outliers have been studied and presented, with few data-cleaning techniques. This paper aims to present the elements necessary to ensure QoD by presenting the overview of the IoT state-of-the-art. Then, data quality, data in IoT, and outliers are studied, and some quality assurance techniques that maintain data quality is presented. A comprehensive taxonomy is shown to provide state-of-the-art data in IoT. Open issues and future directions were suggested at the end of the paper.

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“…A software defined network (SDN) provides a variety of network connection ports for various computing terminals or device terminals ( Du et al, 2013 ; Elaheh, 2023 ; Linhares et al, 2023 ), making the research and application of network multipath transmission technology a hot spot ( Alcardo & Andrew, 2022 ; Intidhar, Meriem & Taoufik, 2023 ; Huang et al, 2023 ). In SDN networks, multipath transmission technology is inseparable from the multipath transmission control protocol (MPTCP) ( Vikas & Samayveer, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Research on the control strategies of data flow transmission paths for MPTCP-based communication networks

Shu,

Du,

Zhu

et al. 2023

PeerJ Computer Science

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The performance of multipath transmission control protocol (MPTCP) subflow through the enhancement mechanism of the MPTCP communication is improved. When dealing with multiple MPTCP subflows occupying the same transmission path, critical issues such as selection and optimization of multipath, and efficient scheduling of available multiple tracks are effectively addressed by incorporating the technology called software defined network (SDN) that is constructed based on four key parameters, namely, network transmission bandwidth, transmission paths, path capacity, and network latency. Besides, critical equipment such as the network physical device layer and SDN controller are integrated with the four parameters. So, the network model defines the transmission control process and data information. Considering the predetermined total network bandwidth capacity to select multiple paths, the adequate bandwidth capacity is determined by defining the data transfer rate between MPTCP terminals and MPTCP servers. However, the processing latency of the OpenFlow switch and the SDN controller is excluded. The effective network transmission paths are calculated through two rounds of path selection algorithms. Moreover, according to the demand capacity of the data transmission and the supply capacity of the required occupied network resource, a supply and demand strategy is formulated by considering the bandwidth capacity of the total network and invalid network latency factors. Then, the available network transmission path from the valid network transmission path is calculated. The shortest path calculation problem, which is the calculation and sorting of the shortest path, is transformed into a clustering, Inter-Cluster Average Classification (ICA), problem. The instruction of the OpenFlow communication flow is designed to schedule MPTCP subflows. Thus, various validation objectives, including the network model, effective network latency, effective transmission paths, supply-demand strategies, ineffective transmission paths, shortest feasible paths, and communication rules are addressed by the proposed method whose reliability, stability, and data transmission performance are validated through comparative analysis with other conventional algorithms. Found that the network latency is around 20 s, the network transmission rate is approximately 10 Mbps, the network bandwidth capacity reaches around 25Mbps, the network resource utilization rate is about 75%, and the network swallowing volume is approximately 3 M/s.

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Empowering SDN-Docker Based Architecture for Internet of Things Heterogeneity

Cited by 6 publications

References 39 publications

Computer Hardware and Network Data Transmission based on Internet of Things Communication Technology

Computer Hardware and Network Data Transmission based on Internet of Things Communication Technology

Quality of Data (QoD) in Internet of Things (IOT): An Overview, State-of-the-Art, Taxonomy and Future Directions

Research on the control strategies of data flow transmission paths for MPTCP-based communication networks

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