A Framework of Priority-Aware Packet Transmission Scheduling in Cluster-Based Industrial Wireless Sensor Networks

Lin, Feilong; Dai, Wenbin; Li, Wenbai; Xu, Zhezhuang; Yuan, Liyong

doi:10.1109/tii.2019.2944980

Cited by 38 publications

(12 citation statements)

References 23 publications

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“…To deal with this problem, Ref. [29] proposed a time division multiple access (TDMA)-based multichannel superframe strategy to keep the superiority of each priority with full radio channel reuse while the strategy is implemented for cluster-based IWN without considering burst data. Similarly, a multi-priority scheme named p-persistent is proposed in [30] based on carrier sense multiple access (CSMA), which guarantees the transmission of high priority at the expense of longer delay of low priority data and still does not take burst data into account.…”

Section: Multi-priority Wireless Transmissionmentioning

confidence: 99%

Wireless/wired integrated transmission for industrial cyber-physical systems: risk-sensitive co-design of 5G and TSN protocols

Guan

Chen

et al. 2021

Sci. China Inf. Sci.

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The growing popularity of intelligent manufacturing is driven by deterministic transmission demands of applications in industrial cyber-physical systems (ICPS). However, the ossified shortages of industrial wireless communication such as diverse quality of service (QoS) and complex signaling processes incur a severe long tail of transmission delay distribution. As a solution, the 5th generation (5G) wireless communication technology provides ultra-reliable and low-latency communication (URLLC) for industry scenarios. Moreover, the newly proposed time-sensitive networking (TSN) standards guarantee the transmission determinacy by gate mechanism. In this paper, we propose a heterogeneous time-sensitive network (HTSN) co-designed by 5G and TSN. We first develop a predictive multi-priority wireless scheduling mechanism based on semi-persistent scheduling (SPS) to reduce signaling delay by reserving resources in advance. Then we propose an adaptive data injection mechanism for TSN based on per-stream filtering and policing (PSFP), which dynamically adjusts the priority of data for queue injection in TSN. To further reduce the long tail of delay, we employ a risk-sensitive learning method to improve the worst-case delay. Simulations on a hot rolling production scenario demonstrate that the proposed mechanisms under HTSN achieve great performance in terms of integrated delay and resource utilization.

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Section: Multi-priority Wireless Transmissionmentioning

confidence: 99%

Wireless/wired integrated transmission for industrial cyber-physical systems: risk-sensitive co-design of 5G and TSN protocols

Guan

Chen

et al. 2021

Sci. China Inf. Sci.

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“…The frames with 1 × 2048 pixels captured by the camera are continuously combined to obtain a whole image. With the support of the Industrial Internet of Things [20,21], the images are transmitted to the computer for color classification. After the image is classified, the computer outputs a label of this wooden board to the printer.…”

Section: Image Characteristics Of Wooden Boardsmentioning

confidence: 99%

Color Classification of Wooden Boards Based on Machine Vision and the Clustering Algorithm

et al. 2020

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Color classification of wooden boards is helpful to improve the appearance of wooden furniture that is spliced from multiple wooden boards. Due to the similarity of colors among wooden boards, manual color classification is inaccurate and unstable. Thus, supervised learning algorithms can hardly be used in this scenario. Moreover, wooden boards are long, and their images have a high resolution, which may lead to the growth of computational complexity. To overcome these challenges, in this paper, we propose a new mechanism for color classification of wooden boards based on machine vision. The image of the wooden board is preprocessed to subtract irrelevant colors, and the feature vector is extracted based on 3D color histogram to reduce the computational complexity. In the offline clustering, the feature vector sets are partitioned into different clusters through the K-means algorithm. Then, the clustering result can be used in the online classification to classify the new wood image. Furthermore, to process the abnormal images of wooden boards, we propose an improved algorithm with centroid improvement and image filtering. The experimental results verify the effectiveness of the proposed mechanism.

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“…With the advantages in terms of low power consumption, low cost, fast deployment, and self-organization, 1 wireless sensor networks (WSNs) have been widely used in many fields such as automation, environmental monitoring, and healthcare. 2,3 A typical WSN consists of a certain number of sensor nodes, and each node is generally equipped with data sensing module, data processing module, wireless communication module, and power module. Accordingly, WSNs still face the challenges such as fault tolerance, security, load balancing, energy consumption, and network lifetime.…”

Section: Introductionmentioning

confidence: 99%

Collection tree-oriented mesh routing optimization for extending the lifetime of wireless sensor networks

Yuan

Lin

2022

International Journal of Distributed Sensor Networks

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Routing optimization in wireless sensor networks facilitates to reduce the overhead of the maintaining of wireless sensor networks and extend the lifetime of wireless sensor networks. Collection tree-based routing protocol, which does not require route discovery, has been widely used for low overheads of calculation and storage. However, with collection tree-based routing protocol, some nodes easily become the bottleneck points and quickly run out of the energy. To deal with this drawback, this article proposes a collection tree-oriented mesh routing strategy with cooperatively consuming the residual energy among the neighboring sensor nodes. The collection tree-oriented mesh routing is formulated into a linear programming problem with the purpose to maximize the network lifetime. By solving the optimization problem, the optimal mesh routing and data forwarding scheme is derived. Experimental simulations show that the proposed collection tree-oriented mesh routing optimization strategy can extend the network lifetime by more than 20%.

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A Framework of Priority-Aware Packet Transmission Scheduling in Cluster-Based Industrial Wireless Sensor Networks

Cited by 38 publications

References 23 publications

Wireless/wired integrated transmission for industrial cyber-physical systems: risk-sensitive co-design of 5G and TSN protocols

Wireless/wired integrated transmission for industrial cyber-physical systems: risk-sensitive co-design of 5G and TSN protocols

Color Classification of Wooden Boards Based on Machine Vision and the Clustering Algorithm

Collection tree-oriented mesh routing optimization for extending the lifetime of wireless sensor networks

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