A system architecture for time-sensitive heterogeneous wireless distributed software-defined networks

Huque, Tanvir Ishtaique ul; Yego, Kiplimo; Sioutis, Christos; Nobakht, Mehdi; Sitnikova, Elena; Hartog, Frank den

doi:10.1109/milcis.2019.8930753

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…In [70] Ishtaique ul Huque et al present a system architecture for time-sensitive heterogeneous wireless distributed software-defined networks. They derive this system architecture from enabling state-of-the-art technologies and their requirements.…”

Section: A Network Architecturesmentioning

confidence: 99%

Real-Time Performance of Industrial IoT Communication Technologies: A Review

Behnke,

Austad

2024

IEEE Internet Things J.

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With the growing need for automation and the ongoing merge of OT and IT, industrial networks have to transport a high amount of heterogeneous data with mixed criticality such as control traffic, sensor data, and configuration messages. Current advances in IT technologies furthermore enable a new set of automation scenarios under the roof of Industry 4.0 and IIoT where industrial networks now have to meet new requirements in flexibility and reliability. The necessary real-time guarantees will place significant demands on the networks. In this paper, we identify IIoT use cases and infer real-time requirements along several axes before bridging the gap between real-time network technologies and the identified scenarios. We review real-time networking technologies and present peer-reviewed works from the past 5 years for industrial environments. We investigate how these can be applied to controllers, systems, and embedded devices. Finally, we discuss open challenges for real-time communication technologies to enable the identified scenarios. The review shows academic interest in the field of real-time communication technologies but also highlights a lack of a fixed set of standards important for trust in safety and reliability, especially where wireless technologies are concerned.

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Section: A Network Architecturesmentioning

confidence: 99%

Real-Time Performance of Industrial IoT Communication Technologies: A Review

Behnke,

Austad

2024

IEEE Internet Things J.

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“…In the SDWN architecture, a global network controller is responsible for the rate management of each OpenFlow device [ 1 , 2 , 19 , 20 , 21 , 22 , 23 ]. In the separation of the control and data planes, control plane unification is implemented for different kinds of networks, including wired Internet Protocol (IP) networks [ 5 , 6 , 8 , 20 , 23 ], Wavelength-Division Multiplexings (WDMs) [ 24 ], and wireless networks [ 25 , 26 , 27 ]. In recently published works, the AIMD adjustment scheme has been further optimized using Lyapunov–Krasovskii functionals for network congestion control in SDWNs [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

WOA-Based Robust Congestion Control Scheme with Two Kinds of Propagation Latencies and External Disturbance in Software-Defined Wireless Networks

Shen

Xiong

et al. 2023

Biomimetics

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This paper proposes a novel WOA-based robust control scheme with two kinds of propagation latencies and external disturbance implemented in Software-Defined Wireless Networks (SDWNs) to maximize overall throughput and enhance the stability of the global network. Firstly, an adjustment model developed using the Additive-Increase Multiplicative-Decrease (AIMD) adjustment scheme with propagation latency in device-to-device paths and a closed-loop congestion control model with propagation latency in device–controller pairs are proposed, and the effect of channel competition from neighboring forwarding devices is analyzed. Subsequently, a robust congestion control model with two kinds of propagation latencies and external disturbance is established. Then, a new WOA-based scheduling strategy that considers each individual whale as a specific scheduling plan to allocate appropriate sending rates at the source side is presented to maximize the global network throughput. Afterward, the sufficient conditions are derived using Lyapunov–Krasovskii functionals and formulated using Linear Matrix Inequalities (LMIs). Finally, a numerical simulation is conducted to verify the effectiveness of this proposed scheme.

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“…Recently, the research on TSSDN has been receiving increasing interests, which mainly focus on architecture design [4]- [6], control strategy [7]- [9] and latency analysis [10], [11]. *Corresponding author: yxzhao@sei.ecnu.edu.cn DOI reference number: 10.18293/SEKE2022-094 Various solutions on how to combine TSN and SDN to form the TSSDN architecture have been discussed, among which our work is based on the one proposed by Böhm et al [5].…”

Section: Introductionmentioning

confidence: 99%

Formal Verification and Analysis of Time-Sensitive Software-Defined Network Architecture

Xu¹,

Wu²,

Zhang³

et al. 2022

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering

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Safety-critical traffic in Industrial Internet of Things (IIoT) requires real-time communications with high fault tolerance, bounded latency and low jitter. Time-Sensitive Software-Defined Network (TSSDN), which combines the deterministic transmission of Time-Sensitive Networking (TSN) with the centralized management of Software-Defined Networking (SDN), was recently proposed to support the real-time requirement in IIoT. The research on TSSDN has been receiving increasing interests, however, the existing work has limitations including 1) the functional safety of TSSDN cannot be guaranteed; and 2) the effect of the separation of data plane and control plane on the time-sensitivity of TSSDN has not been evaluated. Therefore, in this paper, we employ the timed model checker UPPAAL to formalize the TSSDN architecture. Firstly, we use the build-in checker in UPPAAL to verify deadlock-free property, functional safety property and starvation-free property of our model. Then, the total latency of frames forwarding and scheduling within a single switch is measured based on the model. We focus on the latency overhead of frames requesting processing rules from the controller, which is on average an additioanl 180µs latency in the worst case, but the impact of this delay on the time-sensitivity of TSSDN is tolerable. As far as we know, this is the first paper providing a formal verification and analysis approach for TSSDN architecture, which could benefit for both TSSDN designers as well as the researchers.

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A system architecture for time-sensitive heterogeneous wireless distributed software-defined networks

Cited by 4 publications

References 20 publications

Real-Time Performance of Industrial IoT Communication Technologies: A Review

Real-Time Performance of Industrial IoT Communication Technologies: A Review

WOA-Based Robust Congestion Control Scheme with Two Kinds of Propagation Latencies and External Disturbance in Software-Defined Wireless Networks

Formal Verification and Analysis of Time-Sensitive Software-Defined Network Architecture

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