Cross-layer restoration with software defined networking based on IP over optical transport networks

Yang, Hui; Cheng, Lei; Deng, Junni; Zhao, Yongli; Zhang, Jie; Lee, Young

doi:10.1016/j.yofte.2015.08.006

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…Content may change prior to final publication. [21], [22]. A scheme for joint optimization of network resources and data center responsiveness is proposed to achieve desired service requirements.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

et al. 2021

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Tactical software defined radio (SDR) networks demand stringent requirements of latency, throughput, and reliability. In the past, significant efforts have been made to achieve maximal efficiency with modifications and improvements either in an individual layer or through the cross-layer design of its working protocol. In this paper, we propose a novel cross-layer design consisting of adaptive multi-input medium access control (AMI-MAC) layer along with an intelligent channel allocation scheme supported by a multiband multimode physical layer. A cognitive engine further empowers this cross-layer design approach to achieve high throughput, improved quality of service (QoS), and adaptive range capabilities. The proposed physical layer exhibits a mixed use of narrowband and wideband waveforms accommodating different range requirements as per demanded QoS. The uniqueness of the proposed physical layer enables SDR to operate in hybrid topology by receiving multiple narrowband signals of different bandwidths with the same configuration of wideband RF front end. The proposed AMI-MAC design ensures a reduction in both control and data phase latency. MAC layer ensures the maximal utilization of the time and frequency spectrum. Bandwidth and delay optimization is also managed by the proposed trio of the physical layer, MAC, and cognition to reduce latency and achieve desired QoS. Simulation results are presented to show the superiority of the proposed design over conventional tactical radio MAC.

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Section: Related Workmentioning

confidence: 99%

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

et al. 2021

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Survivable automatic hidden bypasses in Software-Defined Networks

2018

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Optimized topology control in mobile IP networks using a new parametric routing algorithm

Gholizadeh

Abdullah

Othman

et al. 2018

Computers & Electrical Engineering

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When some intermediate nodes fail or are suddenly removed in a mobile IP network, a node failure can disconnect paths and decrease network efficiency due to loss of some packets. In this case, the movement of the remaining nodes must be controlled such that to prevent further network efficiency drop. In the present research, we will study the intermediate node failure and changing foreign networks in mobile IP networks when the Mobile Node (MN) moves. Then, a new optimal routing algorithm is proposed to make up the node failure and changing Foreign Agent (FA). For this purpose, an Optimal Parametric Topology Control Routing (OPTCR) algorithm is introduced based on parametric linear programming formulation (LPF). Since OPTCR can handle the handover latency, it is supposed that both destination and intermediate nodes can move but just intermediate nodes may fail. Simulation results show that OPTCR algorithm is superior to some algorithms appeared in the recent literature.

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Cross-layer restoration with software defined networking based on IP over optical transport networks

Cited by 7 publications

References 28 publications

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

Survivable automatic hidden bypasses in Software-Defined Networks

Optimized topology control in mobile IP networks using a new parametric routing algorithm

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