Resource Assignment Based on Dynamic Fuzzy Clustering in Elastic Optical Networks With Multi-Core Fibers

Yang, Hui; Yao, Qiuyan; Yu, Ao; Lee, Young; Zhang, Jie

doi:10.1109/tcomm.2019.2894711

Cited by 116 publications

(29 citation statements)

References 30 publications

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“…Fuzzy clustering methods are described in the large number of papers, where earlier works (published in the 1990s) are represented e.g., by [96][97][98][99]. A recent level of fuzzy clustering is disclosed, e.g., in papers and reviews [100][101][102][103]. Now, flexible fuzzy clustering methods are being applied and provide decision making [100] in many fields, including finance, the energy sector, medicine, Web classification, healthcare, machine learning, pattern recognition, and time series prediction.…”

Section: Fuzzy Logic and Approximate Clusteringmentioning

confidence: 99%

“…Modern investigations of space-division multiplexing elastic optical networks (SDM-EON) [102] are actual for the future enlargement of Internet traffic and were proposed to use dynamic unsupervised fuzzy clustering for more intelligent and effective resource assignment. For different sample scales, these fiber systems can use either the known C-means method or the direct clustering method.…”

Section: Fuzzy Logic and Approximate Clusteringmentioning

confidence: 99%

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Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Bykovsky

2020

Quantum Reports

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Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.

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Section: Fuzzy Logic and Approximate Clusteringmentioning

confidence: 99%

Section: Fuzzy Logic and Approximate Clusteringmentioning

confidence: 99%

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Bykovsky

2020

Quantum Reports

View full text Add to dashboard Cite

show abstract

“…Zhu et al [16] proposed a serviceclassified based routing, spectrum, and core assignment for multicore fiber-based SDM-EON. Yang et al [17] proposed a dynamic fuzzy clustering-based resource assignment scheme in SDM-EON, which effectively reduces blocking probability and resource utilization.…”

Section: Literature Surveymentioning

confidence: 99%

On Energy Efficient Survivable Multipath Based Approaches in Space Division Multiplexing Elastic Optical Network: Crosstalk-Aware and Fragmentation-Aware

Paira

Halder

Chatterjee³

et al. 2020

IEEE Access

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In this paper, we have proposed two energy-efficient heuristics: (i) CMDE-RSCA (crosstalk-aware), and (ii) FMDE-RSCA (fragmentation-aware) to address the issues of inter-core crosstalk, and fragmentation within the core respectively-to ensure quality transmission of the optical signal for dynamic traffic in space division multiplexing elastic optical network (SDM-EON), while maintaining survivability of the network against single link failure. These heuristics based on multipath based survivability are compared with three existing survivable approaches based on p-cycles and shared path in terms of bandwidth blocking, energy consumption, crosstalk, and fragmentation. Both these algorithms outperform all three existing heuristics in terms of all parameters. In between CMDE-RSCA and FMDE-RSCA, CMDE-RSCA leads to consume lesser energy, whereas FMDE-RSCA produces lesser bandwidth blocking.

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“…In the domain where 5G networks seek to meet the required conditions for scalability, methodologies such as elastic optical networks are becoming more autonomous and intelligent. These employ computational intelligence algorithms as dynamic fuzzy clustering methods for the allocation of resources based on the requirements of users in future network services [6].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Strategy for Planning Centralized Access Networks in the Installation of Hybrid Fiber Radio Systems

Costa

Silva

et al. 2020

IEEE Access

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5G networks have arrived and are able to shift paradigms within the areas of connectivity, maintainability, scalability and availability. Their aim is to ensure that users can remain online with their devices at any time and in any place. In light of this, solutions for centralized networks are becoming attractive since they are manageable and low-cost. In these conditions, the use of computing techniques such as fuzzy logic benefits the supervision and planning of networks by optimizing and controlling resources as well as managing the system. However, planning a centralized network tends to raise challenges in the optical sectors that are located between the telecommunications center and the base station. Technologies such as radio over fiber are being examined to meet the demands in the fronthaul market, although they raise many other challenges. For this reason, in this study, we have adopted an intelligent strategy to determine in a balanced way which radio over fiber signals should be allocated in the optical sector. This strategy is implemented using fuzzy logic and may be used in decision making to plan the future of centralized networks. The results show that it is possible to make tradeoffs between the capital expenditure and performance of the system.

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Resource Assignment Based on Dynamic Fuzzy Clustering in Elastic Optical Networks With Multi-Core Fibers

Cited by 116 publications

References 30 publications

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

On Energy Efficient Survivable Multipath Based Approaches in Space Division Multiplexing Elastic Optical Network: Crosstalk-Aware and Fragmentation-Aware

A Fuzzy Strategy for Planning Centralized Access Networks in the Installation of Hybrid Fiber Radio Systems

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