Achieving Hybrid Wired/Wireless Industrial Networks With WDetServ: Reliability-Based Scheduling for Delay Guarantees

Zoppi, Samuele; Bemten, Amaury Van; Gürsu, H. Murat; Vilgelm, Mikhail; Guck, Jochen W.; Kellerer, Wolfgang

doi:10.1109/tii.2018.2803122

Cited by 32 publications

(25 citation statements)

References 57 publications

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“…Zoppi et al [17] improved the reliability of lossy links via re-transmissions of packets by designing the hopping sequence using the knowledge of the channels' PDR. Additionally, in [18] they proposed a reliability-aware dynamic scheduler that allocates re-transmissions based on the time-varying average PDR of the wireless channels.…”

Section: A Related Workmentioning

confidence: 99%

Dynamic Scheduling for Delay-Critical Packets in a Networked Control System Using WirelessHART

Zoppi

Champati

Gross

et al. 2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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In future industrial scenarios, Wireless Sensor Networks (WSN) are envisioned to support the traffic of Networked Control Systems (NCS). WirelessHART is a prevalent WSN protocol that uses the Time Slotted Channel Hopping (TSCH) medium access to cope with the delay and reliability requirements of NCS in the harsh industrial environment. In TSCH, time slots and frequencies can be scheduled by a network coordinator to provide Quality of Service (QoS). In contrast to previous works that consider the end-to-end delay requirement of a flow of packets, we focus on a finite sequence of timecritical packets. These packets may belong to a time-critical message whose latency could significantly impact the NCS. Given an end-to-end delay deadline, our objective is to minimize the Delay Violation Probability (DVP) for a finite sequence of packets by dynamically scheduling the time slots in each frame. This is a challenging task as DVP depends on the instantaneous state of the network and requires its transient analysis. In this work, we model the wireless NCS as a two-queue lossy wireless network and propose the first transient analysis of DVP for a finite sequence of time-critical packets. Noting that DVP cannot be directly used for dynamic resource allocation, we propose a heuristic algorithm by relating DVP with the network's throughput. The proposed heuristic maximizes the expected throughput, is computed by solving a finite-horizon Markov Decision Process (MDP), and can be implemented at the network coordinator. Using simulation we demonstrate that the MDP-based heuristic achieves lower DVP compared to the classical MaxWeight and Weighted-Fair Queuing.

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Section: A Related Workmentioning

confidence: 99%

Dynamic Scheduling for Delay-Critical Packets in a Networked Control System Using WirelessHART

Zoppi

Champati

Gross

et al. 2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Self Cite

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“…Different scheduling algorithms performed differently under different conditions. There are various parameters that have been used in the evaluation of the different scheduling algorithms including end to end delay in relation to the node positioning or number of nodes in the network [33,35,41], slot allocation duration in relation to number of neighbor nodes or period [37][38][39] and reliability in relation to period and number of nodes in the network.…”

Section: Comparison Of the Different Tdma Scheduling Algorithms For ımentioning

confidence: 99%

A survey on time division multiple access scheduling algorithms for industrial networks

2020

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“…With the development of Industry 4.0, wireless sensor networks (WSNs) have great application prospects for industrial scenarios due to their advantages over traditional wired networks [1,2,3,4]. However, fully-automated mechanized operations and the wireless communication environments make the industrial wireless sensor networks (IWSNs) have stronger requirements for high security and low latency [5].…”

Section: Introductionmentioning

confidence: 99%

“…Christin et al [1] surveyed related WSN technologies dedicated to industrial automation from the aspects of security and quality of service (QoS). The work in [4] presented a QoS framework for IWSNs guaranteeing the delay bound and the target reliability. N. Neshenko et al [11] surveyed the challenges and research problems in the Internet of Things (IoT) including intrusion detection systems, threat modeling, and emerging technologies.…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Based Physical Layer Authentication for Industrial Wireless Sensor Networks

Liao

Wen

et al. 2019

Sensors

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In this paper, a deep learning (DL)-based physical (PHY) layer authentication framework is proposed to enhance the security of industrial wireless sensor networks (IWSNs). Three algorithms, the deep neural network (DNN)-based sensor nodes’ authentication method, the convolutional neural network (CNN)-based sensor nodes’ authentication method, and the convolution preprocessing neural network (CPNN)-based sensor nodes’ authentication method, have been adopted to implement the PHY-layer authentication in IWSNs. Among them, the improved CPNN-based algorithm requires few computing resources and has extremely low latency, which enable a lightweight multi-node PHY-layer authentication. The adaptive moment estimation (Adam) accelerated gradient algorithm and minibatch skill are used to accelerate the training of the neural networks. Simulations are performed to evaluate the performance of each algorithm and a brief analysis of the application scenarios for each algorithm is discussed. Moreover, the experiments have been performed with universal software radio peripherals (USRPs) to evaluate the authentication performance of the proposed algorithms. Due to the trainings being performed on the edge sides, the proposed method can implement a lightweight authentication for the sensor nodes under the edge computing (EC) system in IWSNs.

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Achieving Hybrid Wired/Wireless Industrial Networks With WDetServ: Reliability-Based Scheduling for Delay Guarantees

Cited by 32 publications

References 57 publications

Dynamic Scheduling for Delay-Critical Packets in a Networked Control System Using WirelessHART

Dynamic Scheduling for Delay-Critical Packets in a Networked Control System Using WirelessHART

A survey on time division multiple access scheduling algorithms for industrial networks

Deep-Learning-Based Physical Layer Authentication for Industrial Wireless Sensor Networks

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