A 3-D Topology Evolution Scheme With Self-Adaption for Industrial Internet of Things

Qiu, Tie; Zhang, Songwei; Si, Weisheng; Cao, Qing; Atiquzzaman, Mohammed

doi:10.1109/jiot.2020.2986277

Cited by 11 publications

(5 citation statements)

References 33 publications

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“…The network is highly heterogeneous, and different network dimensions require different communication protocols and communication links, resulting in increased network management complexity and increased operating network costs [12,13]. To realize the global optimization of resources and the cooperation of heterogeneous networks in such a large-scale network, a current trend is to introduce the idea of SDN centralized perception and data/control decoupled network design into the design of SGAIN [14][15][16][17][18]. SDN uses the layering to separate the data plane of the network from the control plane, and the control plane controls the network equipment of the data plane centrally through the unified and open south interface; it also uses network function virtualization (NFV) technology to abstract the physical network and device components, decouples the physical device layer and the business logic layer, collects the state informa-tion of the whole network from the control plane, and creates an efficient resource allocation strategy.…”

Section: Introductionmentioning

confidence: 99%

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Liao

Chen

et al. 2022

Remote Sensing

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The space–air–ground Integrated Network (SAGIN) is considered to be a significant framework for realizing the vision of “6G intelligent connection of all things”. The birth of 6G SAGIN also brings many problems, such as ultra-dense dense networks, leading to a decrease in the efficiency of traditional flat network management, and traditional satellite networking solidified network functions, etc. Therefore, combining the 6G SAGIN network with the software-defined network (SDN) is an excellent solution. However, the satellite network topology changes dynamically and the ground user unbalanced distribution leads to the unbalanced load of the SDN controller, which further leads to the increased communication delay and throughput drop, etc. For these problems, a hierarchical multi-controller deployment strategy of an SDN-based 6G SAGIN is proposed. Firstly, the delay model of the network, the load model of the SDN controller, and a loss value as a measure of whether the network delay and controller load are optimal are defined. Then, using the distribution relationship between the SDN controller and the switch node as the solution space, and taking the loss value as the optimization goal, a multi-controller deployment strategy based on the simulated annealing algorithm is used to search for the optimal solution space. Lastly, considering the network topology changes dynamically and the SDN controller imbalance, a switch migration strategy oriented toward load balancing is proposed. We aimed to determine the controller deployment plan through the above two points, balance the controller load, and then improve the network performance. The simulation results show that the controller load is increased by about 7.71% compared to OCLDS, and the running time is increased by 17.7% compared to n-k-means.

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Section: Introductionmentioning

confidence: 99%

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Liao

Chen

et al. 2022

Remote Sensing

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“…The IoT devices should work at low power budgets to provide sensing and communication functionalities. Achieving this goal will enable applications such as intelligent manufacturing (Qiu et al, 2020), smart city (Chen et al, 2018), and machine type communication (Mohammed et al, 2019). Wireless sensing (WS) has emerged as a key enabling technology for future IoT.…”

Section: Introductionmentioning

confidence: 99%

Backscatter communication-based wireless sensing (BBWS): Performance enhancement and future applications

Toro

ElHalawany²,

Wong³

et al. 2022

Journal of Network and Computer Applications

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“…Recently, Siamese network based trackers are gradually being applied to mobile devices owing to their balance between accuracy and efficiency. In the meantime, The development of adversarial training [5] improves the accuracy of Siamese network based trackers and has been applied to fingerprint localization [6], Internet of Things [7][8][9], intelligent transportation [10] and other fields [11,12]. These trackers first perform feature extraction using a Siamese network and then exploit a tracking-head network to localize objects from the similarity map.…”

Section: Introductionmentioning

confidence: 99%

Object Relocation Visual Tracking Based On Histogram Filter And Siamese Network

Zhang

Wang

et al. 2022

Preprint

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Siamese network based trackers formulate the visual tracking mission as an image matching process by regression and classification branches, which simplifies the network structure and improves tracking accuracy. However, there remain many problems as described below. 1) The lightweight neural networks decreases feature representation ability. The tracker is easy to fail under the disturbing distractors (e.g., deformation and similar objects) or large changes in viewing angle. 2) The tracker cannot adapt to variations of the object. 3) The tracker cannot reposition the object that has failed to track. To address these issues, we first propose a novel match filter arbiter based on the Euclidean distance histogram between the centers of multiple candidate objects to automatically determine whether the tracker fails. Secondly, Hopcroft-Karp algorithm is introduced to select the winners from the dynamic template set through the backtracking process, and object relocation is achieved by comparing the Gradient Magnitude Similarity Deviation between the template and the winners. The experiments show that our method obtains better performance on several tracking benchmarks, i.e., OTB100, VOT2018, GOT-10k and LaSOT, compared with state-of-the-art methods.

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A 3-D Topology Evolution Scheme With Self-Adaption for Industrial Internet of Things

Cited by 11 publications

References 33 publications

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Backscatter communication-based wireless sensing (BBWS): Performance enhancement and future applications

Object Relocation Visual Tracking Based On Histogram Filter And Siamese Network

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