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Journal articles on the topic 'Routing and spectrum allocation'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Ying Wang, Ying Wang, Jie Zhang Jie Zhang, Yongli Zhao Yongli Zhao, Junyan Liu Junyan Liu, and Wanyi Gu Wanyi Gu. "Spectrum consecutiveness based routing and spectrum allocation in flexible bandwidth networks." Chinese Optics Letters 10, s1 (2012): S10606–310609. http://dx.doi.org/10.3788/col201210.s10606.

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2

Olszewski, Ireneusz. "Spectrum Allocation Policy in Elastic Optical Networks." International Journal of Electronics and Telecommunications 63, no. 4 (2017): 423–29. http://dx.doi.org/10.1515/eletel-2017-0053.

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Abstract The considered problem covers routing and spectrum allocation problem (RSA problem) in Elastic Optical Networks while maintaining the spectrum continuity constraints, non-overlapping spectra constraints for adjacent connections on individual links of the network and spectrum contiguity constraints of the connection. In this article the modified version of the First Fit spectrum slot allocation policy for Fixed Alternate Routing in flexible optical networks has been proposed. The Fixed Alternate Routing with proposed spectrum allocation policy rejects fewer requests, provides less band

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3

Cheng, Lina. "A Research on Routing and Spectrum Allocation Algorithm for Elastic Optical Networks Based on Deep Learning." Frontiers in Business, Economics and Management 2, no. 3 (2021): 24–26. http://dx.doi.org/10.54097/fbem.v2i3.182.

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Dynamic allocation request and spectrum release will lead to spectrum fragmentation, which will affect the allocation of subsequent services and spectrum resource utilization of elastic optical network. This paper proposes a new routing and spectrum allocation algorithm based on deep learning, which will find the best routing and spectrum allocation method for a specific network, so as to improve the overall network performance. Simulation results show that compared with the traditional resource allocation strategy, the neural network model used in this paper can improve the degree of spectrum

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4

Biernacka, Edyta, Jerzy Domżał, and Robert Wójcik. "Investigation of dynamic routing and spectrum allocation methods in elastic optical networks." International Journal of Electronics and Telecommunications 63, no. 1 (2017): 85–92. http://dx.doi.org/10.1515/eletel-2017-0012.

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Abstract The introduction of flexible frequency grids and advanced modulation techniques to optical transmission, namely an elastic optical network, requires new routing and spectrum allocation techniques. In this paper, we investigate dynamic two-step routing and spectrum allocation (RSA) methods for elastic optical networks. K-shortest path-based methods as well as spectrum allocation methods are analysed and discussed. Experimental verification of the investigated techniques is provided using simulation software. Simulation results present effectiveness of routing and spectrum allocation me

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5

JU Weiguo, 鞠卫国, 黄善国 HUANG Shanguo, 徐珍珍 XU Zhenzhen, et al. "Spectrum Fusion Oriented Routing and Spectrum Allocation Algorithm and Spectrum Defragmentation Algorithm." ACTA PHOTONICA SINICA 42, no. 8 (2013): 929–35. http://dx.doi.org/10.3788/gzxb20134208.0929.

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6

Xi, Tong, Xuehua Li, and Xin Wang. "Time-Efficient RSA over Large-Scale Multi-Domain EON." Sensors 24, no. 21 (2024): 6802. http://dx.doi.org/10.3390/s24216802.

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The poor timeliness of routing has always been an urgent problem in practical operator networks, especially in situations with large-scale networks and multiple network domains. In this article, a pruning idea of routing integrated with Dijkstra’s shortest path searching is utilized to accelerate the process of routing in large-scale multi-domain elastic optical networks (EONs). The layered-graph approach is adopted in the spectrum allocation stage. To this end, an efficient heuristic algorithm is proposed, called “Branch-and-Bound based Routing and Layered Graph based Spectrum Allocation algo

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7

Alyatama, Anwar, Ibrahim Alrashed, and Ammar Alhusaini. "Adaptive routing and spectrum allocation in elastic optical networks." Optical Switching and Networking 24 (April 2017): 12–20. http://dx.doi.org/10.1016/j.osn.2016.10.001.

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8

Shirin Abkenar, Forough, and Akbar Ghaffarpour Rahbar. "Study and Analysis of Routing and Spectrum Allocation (RSA) and Routing, Modulation and Spectrum Allocation (RMSA) Algorithms in Elastic Optical Networks (EONs)." Optical Switching and Networking 23 (January 2017): 5–39. http://dx.doi.org/10.1016/j.osn.2016.08.003.

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9

Shuguang Zhang, 张曙光, 李正贤 Zhengxian Li, and 王伟 Wei Wang. "Joint-Optimization Routing and Spectrum Allocation Algorithm Based on Spectrum Bit Diagram." Laser & Optoelectronics Progress 56, no. 13 (2019): 130602. http://dx.doi.org/10.3788/lop56.130602.

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10

Sheelavant, Kumaresh, and R. Sumathi. "Correlative Dynamic Mapping based Optimization (CDMO) for Optimal Allocation in Cognitive Radio Sensor Network." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 3955–73. http://dx.doi.org/10.47059/revistageintec.v11i4.2421.

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The data communication in the sensor networking system with cognitive radio sensor network increases the speed of packet transmission by the optimal spectrum allocation among available channel. For a large size of network architecture, the routing system needs to manage the packet transmission in an efficient routing path with optimal allocation of channel to the sensor nodes. In these optimal network allocation and routing system, the methods need to be modeled based on the parameters of channel capacity and other routing properties. In this paper, a novel optimization algorithm was proposed

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11

Selva Kumar, S., J. Kamalakannan, R. Seetha, et al. "The Effectual Spectrum Defragmentation Algorithm with Holding Time Sensitivity in Elastic Optical Network (EON)." International Journal of Optics 2022 (November 11, 2022): 1–16. http://dx.doi.org/10.1155/2022/8160054.

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The elastic optical network (EON) fulfills the upcoming generation network requirements such as high-definition videos, high bandwidth demand services, and ultra-high-definition televisions. The key issues in EON are routing spectrum assignment and spectrum fragmentation for spectrum allocation. The spectrum fragmentation issues are resultant in poor consumption of spectrum resources and an increase in the new connection blocking. A flexible defragmentation algorithm must utilize more spectrum resources with a high transmission rate. This paper presents a new multiconstrained defragmentation a

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12

Liu, Huanlin, Jie Ren, Yong Chen, Junling Hu, Chang Tang, and Mingming Tang. "Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks." Optical Switching and Networking 45 (September 2022): 100673. http://dx.doi.org/10.1016/j.osn.2022.100673.

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13

Liu, Huanlin, Bangtao Zhou, and Yong Chen. "Spectrum allocation based on spectrum integration and re-routing for elastic optical networks." IET Optoelectronics 10, no. 5 (2016): 179–83. http://dx.doi.org/10.1049/iet-opt.2015.0136.

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14

Alyatama, Anwar. "Relative cost routing and spectrum allocation in elastic optical networks." Journal of Optical Communications and Networking 12, no. 3 (2020): 38. http://dx.doi.org/10.1364/jocn.379585.

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15

Alaskar, Rana W., Imtiaz Ahmad, and Anwar Alyatama. "Offline routing and spectrum allocation algorithms for elastic optical networks." Optical Switching and Networking 21 (July 2016): 79–92. http://dx.doi.org/10.1016/j.osn.2016.03.001.

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16

Bertero, Federico, Marcelo Bianchetti, and Javier Marenco. "Integer programming models for the routing and spectrum allocation problem." TOP 26, no. 3 (2018): 465–88. http://dx.doi.org/10.1007/s11750-018-0483-6.

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17

Chatterjee, Bijoy Chand, Nityananda Sarma, and Eiji Oki. "Routing and Spectrum Allocation in Elastic Optical Networks: A Tutorial." IEEE Communications Surveys & Tutorials 17, no. 3 (2015): 1776–800. http://dx.doi.org/10.1109/comst.2015.2431731.

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18

Enoch, Julian, and Brigitte Jaumard. "Towards Optimal and Scalable Solution for Routing and Spectrum Allocation." Electronic Notes in Discrete Mathematics 64 (February 2018): 335–44. http://dx.doi.org/10.1016/j.endm.2018.02.008.

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19

Wang, Ying, Jie Zhang, Yongli Zhao, Jingjing Wang, and Wanyi Gu. "ACO-based routing and spectrum allocation in flexible bandwidth networks." Photonic Network Communications 25, no. 3 (2013): 135–43. http://dx.doi.org/10.1007/s11107-013-0397-z.

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20

Liu, Zhan Jun, Feng Xie Qin, and Qian Bin Chen. "Cognitive Radio Routing and Optimal Spectrum Assignment Algorithm." Advanced Materials Research 225-226 (April 2011): 319–23. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.319.

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Aiming to the shortcoming of traditional route protocols in cognitive radio networks, cognitive radio routing and optimal spectrum assignment (CRRSA) algorithm was proposed. In this paper, we consider the situation that non-interfering among the adjacent jump, and present the optimal allocation of available spectrum, and then calculate the bandwidth of end-to-end path, finally select the maximize bandwidth of end-to-end path as the best transmission route. Simulation results show that the End-to-End bandwidth of CRRSA is larger than that of traditional routing algorithm.

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21

Choudhury, Panchali Datta. "Multicast Traffic Grooming in Elastic Optical Network Under Dynamic Scenario." American Journal of Science & Engineering 2, no. 4 (2022): 15–17. http://dx.doi.org/10.15864/ajec.2403.

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Elastic optical networks allow elastic allocation and de-allocation of optical resources to optimize network resources and reduce traffic demand blocking probability for dynamic traffic demands. The routing of dynamic traffic demands is a challenging task since the traffic demands are not predefined, they arrive and leave randomly. The approach presented here is a grooming, routing and spectrum allocation technique for multicast traffic demands in elastic optical networks for dynamic type of traffic demands. The simulation results show reduced blocking probability compared to existing approach

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22

Savva, Giannis, Konstantinos Manousakis, and Georgios Ellinas. "Network coding-based routing and spectrum allocation in elastic optical networks for enhanced physical layer security." Photonic Network Communications 40 (August 6, 2020): 160–74. https://doi.org/10.1007/s11107-020-00893-w.

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In this work, an eavesdropping-aware routing and spectrum allocation approach is proposed utilizing network coding (NC) in elastic optical networks (EONs). To provide physical layer security in EONs and secure the confidential connections against eavesdropping attacks using NC, the signals of the confidential connections are combined (XOR-ed) with other signals at different nodes in their path, while transmitted through the network. The combination of signals through NC significantly increases the security of confidential connections, since an eavesdropper must access all i

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23

Rodrigues, Edson, Eduardo Cerqueira, Denis Rosário, and Helder Oliveira. "Hybrid Routing, Modulation, Spectrum and Core Allocation Based on Mapping Scheme." Sensors 20, no. 21 (2020): 6393. http://dx.doi.org/10.3390/s20216393.

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With the persistently growing popularity of internet traffic, telecom operators are forced to provide high-capacity, cost-efficient, and performance-adaptive connectivity solutions to fulfill the requirements and increase their returns. However, optical networks that make up the core of the Internet gradually reached physical transmission limits. In an attempt to provide new solutions emerged, the Space-Division Multiplexing Elastic Optical Network emerged as one of the best ways to deal with the network depletion. However, it is necessary to establish lightpaths using routing, modulation, spe

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24

Mahala, Neha, and Jaisingh Thangaraj. "Routing and Spectrum Allocation in Elastic Optical Networks for Ecosystem Monitoring." IEEE Sensors Journal 21, no. 16 (2021): 17620–28. http://dx.doi.org/10.1109/jsen.2021.3058848.

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25

Chen, Jian, Yunhe Xie, Jie Jia, Mingyang Zhang, Qinghu Wang, and Xingwei Wang. "Joint resource allocation and routing optimization for spectrum aggregation based CRAHNs." Peer-to-Peer Networking and Applications 14, no. 3 (2021): 1317–33. http://dx.doi.org/10.1007/s12083-021-01093-7.

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26

N.A., Jue Ma. "Network Dynamic Routing And Spectrum Allocation Algorithm Based On Blockchain Technology." International Journal of Autonomous and Adaptive Communications Systems 16, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijaacs.2023.10038427.

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27

Afsharlar, Pegah, Arash Deylamsalehi, Jeremy M. Plante, Juzi Zhao, and Vinod M. Vokkarane. "Routing and Spectrum Assignment With Delayed Allocation in Elastic Optical Networks." Journal of Optical Communications and Networking 9, no. 3 (2017): B101. http://dx.doi.org/10.1364/jocn.9.00b101.

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28

Hong, Yuanyuan, Xuezhi Hong, Sailing He, and Jiajia Chen. "Hybrid Routing and Adaptive Spectrum Allocation for Flex-Grid Optical Interconnects." Journal of Optical Communications and Networking 10, no. 5 (2018): 506. http://dx.doi.org/10.1364/jocn.10.000506.

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29

Yan, Boyuan, Yongli Zhao, Xiaosong Yu, et al. "Tidal-Traffic-Aware Routing and Spectrum Allocation in Elastic Optical Networks." Journal of Optical Communications and Networking 10, no. 11 (2018): 832. http://dx.doi.org/10.1364/jocn.10.000832.

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30

Xiong, Yu, Shuming Liu, and Xue Fan. "Fairness enhanced dynamic routing and spectrum allocation in elastic optical networks." IET Communications 10, no. 9 (2016): 1012–20. http://dx.doi.org/10.1049/iet-com.2015.0783.

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31

Zhang, Zitian, Weisheng Hu, Tong Ye, Weiqiang Sun, Li Zhao, and Kuo Zhang. "Routing and spectrum allocation in multi-ring based data center networks." Optics Communications 360 (February 2016): 25–34. http://dx.doi.org/10.1016/j.optcom.2015.09.097.

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32

Uddin, Mohammad Faisal, and Chadi Assi. "Joint Routing and Scheduling in WMNs with Variable-Width Spectrum Allocation." IEEE Transactions on Mobile Computing 12, no. 11 (2013): 2178–92. http://dx.doi.org/10.1109/tmc.2012.187.

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33

Tan, Yanxia, Rentao Gu, and Yuefeng Ji. "Energy-efficient routing, modulation and spectrum allocation in elastic optical networks." Optical Fiber Technology 36 (July 2017): 297–305. http://dx.doi.org/10.1016/j.yofte.2017.05.001.

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34

Castro, Alberto, Luis Velasco, Marc Ruiz, Mirosław Klinkowski, Juan Pedro Fernández-Palacios, and Davide Careglio. "Dynamic routing and spectrum (re)allocation in future flexgrid optical networks." Computer Networks 56, no. 12 (2012): 2869–83. http://dx.doi.org/10.1016/j.comnet.2012.05.001.

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35

Velasco, L., M. Klinkowski, M. Ruiz, and J. Comellas. "Modeling the routing and spectrum allocation problem for flexgrid optical networks." Photonic Network Communications 24, no. 3 (2012): 177–86. http://dx.doi.org/10.1007/s11107-012-0378-7.

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36

Ma, Jue. "Network dynamic routing and spectrum allocation algorithm based on blockchain technology." International Journal of Autonomous and Adaptive Communications Systems 16, no. 1 (2023): 17. http://dx.doi.org/10.1504/ijaacs.2023.129600.

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37

Calvo-Salcedo, Andrés F., Neil Guerrero González, and Jose A. Jaramillo-Villegas. "Dynamic Spectrum Assignment in Passive Optical Networks Based on Optical Integrated Microring Resonators Using Machine Learning and a Routing, Modulation Level, and Spectrum Assignment Method." Applied Sciences 13, no. 24 (2023): 13294. http://dx.doi.org/10.3390/app132413294.

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The rising demand for bandwidth in optical communication networks has led to the need for more efficient solutions for spectrum allocation. This article presents a solution to enhance the capacity and efficiency of passive optical networks (PON) using optical microring resonators and dynamic spectrum allocation. The solution relies on wavelength division multiplexing (WDM). It proposes using a support vector machine (SVM) and a Routing, Modulation Level, and Spectrum Assignment (RMLSA) method to manage spectrum allocation based on the bandwidth and distance of multiple requests. The network em

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38

Olszewski, Ireneusz. "RSA Problem for Varying Traffic in Flexible Optical Networks." Image Processing & Communications 19, no. 1 (2014): 35–44. http://dx.doi.org/10.1515/ipc-2015-0004.

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Abstract The problem of service time-varying traffic in flexible transparent optical networks, assuming that the incoming connections and their duration are not known in advance, is considered in this work. Time-varying traffic requires dynamic spectrum allocation for connections implemented in the network. In the considered problem, a path with the required spectrum around the reference frequency is determined for each incoming connection by the routing algorithm. In order to take into account the dynamic spectrum allocation for the connections in the network, two spectrum expansion/- contrac

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39

Wang, Yang, Chaoyang Li, Qian Hu, Jabree Flor, and Maryam Jalalitabar. "Routing and Spectrum Allocation in Spectrum-Sliced Elastic Optical Path Networks: A Primal-Dual Framework." Electronics 10, no. 22 (2021): 2809. http://dx.doi.org/10.3390/electronics10222809.

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The recent decade has witnessed a tremendous growth of Internet traffic, which is expected to continue climbing for the foreseeable future. As a new paradigm, Spectrum-sliced Elastic Optical Path (SLICE) networks promise abundant (elastic) bandwidth to address the traffic explosion, while bearing other inherent advantages including enhanced signal quality and extended reachability. The fundamental problem in SLICE networks is to route each traffic demand along a lightpath with continuously and consecutively available sub-carriers, which is known as the Routing and Spectrum Allocation (RSA) pro

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40

Savva, Giannis, Konstantinos Manousakis, and Georgios Ellinas. "Eavesdropping-Aware Routing and Spectrum/Code Allocation in OFDM-Based EONs Using Spread Spectrum Techniques." Journal of Optical Communications and Networking 11, no. 7 (2019): 409. http://dx.doi.org/10.1364/jocn.11.000409.

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41

Zhao, Jijun, Yuehuan Xu, Danping Ren, and Jinhua Hu. "A Cross-layer Traffic Grooming Algorithm in Joint Optimization of the IP over Elastic Optical Network." Journal of Optical Communications 41, no. 1 (2019): 73–82. http://dx.doi.org/10.1515/joc-2017-0143.

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Abstract To fully utilize the existing optical network resource, the dynamic traffic grooming technology, which could efficiently multiplex many low-speed services arriving dynamically onto high-capacity optical channels, has been studied extensively and used widely. In this article, the problem of dynamic traffic grooming in joint optimization of IP over elastic optical network (EON) is studied. This problem consists of three sub-problems at two layers: the routing problem at the IP-layer (IPR), the routing, modulation level (RML), and the spectrum allocation (SA) problems at the optical laye

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42

Behera, Sadananda, Anshuman Deb, Goutam Das, and Biswanath Mukherjee. "Impairment Aware Routing, Bit Loading, and Spectrum Allocation in Elastic Optical Networks." Journal of Lightwave Technology 37, no. 13 (2019): 3009–20. http://dx.doi.org/10.1109/jlt.2019.2909125.

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43

Oliveira, Helder M. N. S., and Nelson L. S. Da Fonseca. "Protection, Routing, Modulation, Core, and Spectrum Allocation in SDM Elastic Optical Networks." IEEE Communications Letters 22, no. 9 (2018): 1806–9. http://dx.doi.org/10.1109/lcomm.2018.2850346.

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44

Ahmed, Tanjila, Sabidur Rahman, Sifat Ferdousi, et al. "Dynamic routing, spectrum, and modulation-format allocation in mixed-grid optical networks." Journal of Optical Communications and Networking 12, no. 5 (2020): 79. http://dx.doi.org/10.1364/jocn.378370.

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45

Ruan, Lu, and Nan Xiao. "Survivable Multipath Routing and Spectrum Allocation in OFDM-Based Flexible Optical Networks." Journal of Optical Communications and Networking 5, no. 3 (2013): 172. http://dx.doi.org/10.1364/jocn.5.000172.

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46

Zhu, Xiaorong, and Hongbo Zhu. "Synergy routing and dynamic spectrum allocation in multi‐hop cognitive radio networks." IET Networks 3, no. 2 (2014): 82–87. http://dx.doi.org/10.1049/iet-net.2012.0158.

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47

Marković, Goran Z. "Routing and spectrum allocation in elastic optical networks using bee colony optimization." Photonic Network Communications 34, no. 3 (2017): 356–74. http://dx.doi.org/10.1007/s11107-017-0706-z.

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48

Bianchetti, Marcelo, and Javier Marenco. "A branch-and-cut algorithm for the routing and spectrum allocation problem." Discrete Applied Mathematics 339 (November 2023): 107–26. http://dx.doi.org/10.1016/j.dam.2023.06.015.

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49

Peng, Yuhuai, Jiaying Wang, Aiping Tan, and Jingjing Wu. "A Novel Resource Allocation and Spectrum Defragmentation Mechanism for IoT-Based Big Data in Smart Cities." Sensors 19, no. 15 (2019): 3443. http://dx.doi.org/10.3390/s19153443.

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People’s demand for high-traffic applications and the need for Internet of Things (IoT) are enormous in smart cities. The amount of data generated by virtual reality, high-definition video, and other IoT applications is growing at an exponential rate that far exceeds our expectations, and the types of data are becoming more diverse. It has become critical to reliably accommodate IoT-based big data with reasonable resource allocation in optical backbone networks for smart cities. For the problem of reliable transmission and efficient resource allocation in optical backbone networks, a novel res

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50

Yu, Xiaosong, Lu Lu, Qingcheng Zhu, Yongli Zhao, Avishek Nag, and Jie Zhang. "Spectrum-Entropy-Minimized Routing and Spectrum Allocation in IP over Mixed-Fixed/Flex-Grid Optical Networks." Photonics 9, no. 6 (2022): 428. http://dx.doi.org/10.3390/photonics9060428.

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Mixed-Fixed/Flex-Grid Optical Networks (MFGONs) are a new paradigm that emerged during the brown-field migration from fixed-grid Wavelength Division Multiplexing (WDM) optical networks to flex-grid Elastic Optical Networks (EONs). Based on the flex-grid, we can accommodate IP traffic directly to the optical layer by configuration. Considering the different granularities of spectrum resources and complex constraints in MFGONs, it is difficult to apply Routing and Wavelength/Spectrum Allocation (RWA/RSA) algorithms proposed in either fixed-grid or flex-grid optical networks. This paper first pro

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