Multicast Routing and Distance-Adaptive Spectrum Allocation in Elastic Optical Networks With Shared Protection

Cai, Anliang; Guo, Jun; Lin, Rongping; Shen, Gangxiang; Zukerman, Moshe

doi:10.1109/jlt.2016.2592999

Cited by 60 publications

(18 citation statements)

References 44 publications

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“…Cai et al [42] considered distance-adaptive spectrum allocation in order to minimize the required spectrum resources for accommodating all multicast requests by applying multicast routing, modulation, and spectrum assignment with shared protection.…”

Section: Related Workmentioning

confidence: 99%

Modulation-Adaptive Link-Disjoint Path Selection Model for 1 + 1 Protected Elastic Optical Networks

et al. 2019

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In elastic optical networks (EONs), an appropriate modulation technique is adapted according to the distance of an optical path. A robust modulation technique with a large number of spectrum slots is considered for longer distance optical paths, and a less robust modulation technique with a small number of spectrum slots is used for shorter distance optical paths. When an optical path is configured, the number of required spectrum slots is determined based on the nonlinear relationship between the optical path length and the number of utilized spectrum slots. Minimizing the total path lengths does not always minimize the total number of required spectrum slots for configuring an optical path, which decreases the spectrum utilization. This paper introduces a modulation-adaptive link-disjoint path selection model by considering a step function based on realistic modulation formats in order to minimize the total number of utilized spectrum slots in 1+1 protected EONs. We formulate the modulation-adaptive link-disjoint path selection problem as an integer linear programming (ILP). We prove that the modulation-adaptive link-disjoint path selection problem is NP-complete. By using an optimization solver, we solve the ILP problem for different backbone networks, namely, Japan Photonic Network (JPN48), German 17 Network, and COST 239 Network, within a practical time. Numerical results obtained from performance evaluation indicate that the introduced model reduces the number of utilized spectrum slots compared to the conventional schemes.

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Section: Related Workmentioning

confidence: 99%

Modulation-Adaptive Link-Disjoint Path Selection Model for 1 + 1 Protected Elastic Optical Networks

et al. 2019

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“…Establishing a protection path for services can effectively improve network survival performance, but it is not conducive to efficient use of spectrum resources. In order to alleviate this problem, in the process of establishing work and protection paths, the DAM technology is used to adaptively select the modulation format suitable for the transmission distance for the working and protection paths [37]. Specifically, when a low-order modulation format (such as binary phase shift keying, that is, BPSK) is used for transmission, the bandwidth of the signal is increased, and the anti-interference capability is also enhanced.…”

Section: Design Of Dasp Mechanismmentioning

confidence: 99%

A Novel Resource Allocation and Spectrum Defragmentation Mechanism for IoT-Based Big Data in Smart Cities

Peng

Wang

Tan

et al. 2019

Sensors

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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 resource allocation and spectrum defragmentation mechanism for massive IoT traffic is presented in this paper. Firstly, a routing and spectrum allocation algorithm based on the distance-adaptive sharing protection mechanism (DASP) is proposed, to obtain sufficient protection and reduce the spectrum consumption. The DASP algorithm advocates applying different strategies to the resource allocation of the working and protection paths. Then, the protection path spectrum defragmentation algorithm based on OpenFlow is designed to improve spectrum utilization while providing shared protection for traffic demands. The lowest starting slot-index first (LSSF) algorithm is employed to remove and reconstruct the optical paths. Numerical results indicate that the proposal can effectively alleviate spectrum fragmentation and reduce the bandwidth-blocking probability by 44.68% compared with the traditional scheme.

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“…In this section, we first elaborate the traditional survivability techniques designed for optical sensing, such as the fiber bus protection scheme [40,41,42,43,44,45] and self-healing architecture [46,47,48,49,50,51,52,53]. Then, we elaborate the traditional survivability techniques that can be applied in OSNs, such as 1 + 1 protection and extensions [54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72], the photonic millimeter-wave bridge scheme [73,74,75,76,77,78], the p-cycle scheme [79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97], the p-polyhedron scheme [98,99,100,101,102,103,…”

Section: Existing Survivability Technologies In Osnsmentioning

confidence: 99%

“…In [66], the authors provided the mathematical formulation to evaluate the availability/unavailability of protected optical connections for the general M:N protection scheme in WDM optical networks. In [67], the authors used shared protection for multicast demands where each light-tree was protected from any single link failure in both directions by having a backup path that is link-disjointed to the path from the source to each destination on the primary tree. The failure probability of each link is already considered in the 1 + 1, 1:1, 1:N, and M:N protection schemes.…”

Section: Existing Survivability Technologies In Osnsmentioning

confidence: 99%

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

Zhang

Xin

2019

Sensors

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Optical sensing that integrates communication and sensing functions is playing a more and more important role in both military and civil applications. Incorporating optical sensing and optical communication, optical sensor networks (OSNs) that undertake the task of high-speed and large-capacity applications and sensing data transmissions have become an important communication infrastructure. However, multiple failures and disasters in OSNs can cause serious sensing provisioning problems. To ensure uninterrupted sensing data transmission, survivability has always been an important research emphasis. This paper focuses on the survivable deployment of OSNs against multiple failures and disasters. We first review and evaluate the existing survivability technologies developed for or applied to OSNs, such as fiber bus protection, self-healing architecture, and 1 + 1 protection. We then elaborate on the disaster-resilient survivability requirement of OSNs. Moreover, we propose a new k-node (edge) sensing connectivity concept, which ensures the connectivity between sensing data and users. Based on k-node (edge) sensing connectivity, the disaster-resilient survivability technologies are developed. The key technologies necessary to implement k-node (edge) sensing connectivity are also elaborated. Recently, artificial intelligence (AI) has developed rapidly. It can be used to improve the survivability of OSNs. This paper details potential development directions of survivability technologies of optical sensing in OSNs employing AI.

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Multicast Routing and Distance-Adaptive Spectrum Allocation in Elastic Optical Networks With Shared Protection

Cited by 60 publications

References 44 publications

Modulation-Adaptive Link-Disjoint Path Selection Model for 1 + 1 Protected Elastic Optical Networks

Modulation-Adaptive Link-Disjoint Path Selection Model for 1 + 1 Protected Elastic Optical Networks

A Novel Resource Allocation and Spectrum Defragmentation Mechanism for IoT-Based Big Data in Smart Cities

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

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