PROJECT TITLE :

Analysis of performance degradation in sleep-mode enabled core optical networks [invited]

ABSTRACT:

Energy potency is an important target for the management of wavelength-division-multiplexing-primarily based core optical networks. A possible power management strategy for energy-economical optical networks consists in putting opto-electronic devices (transponders and regenerators) into a coffee power mode, referred to as sleep or idle, or even turning them off, during low traffic periods. It has been shown that sleep-mode enabled transponders and regenerators yield to substantial energy savings; but, their nonnegligible wake-up time might degrade the network performance in terms of the blocking likelihood of the connections. Opaque networks, in which transponders are utilised at every node in the top-to-end path, are especially liable to such degradations since multiple network nodes might simultaneously exhaust their pool of transponders because of long wake-up times, increasing the blocking likelihood. On the other hand, these degradations are less severe in transparent networks. During this paper, we have a tendency to evaluate how the length of the wake-up time affects the performance of the network in terms of blocking chance depending on its architecture (clear, translucent, or opaque) and the dynamicity of the traffic. Additionally, we tend to propose a unique routing algorithm to mitigate the blocking chance thanks to the wake-up time. The benefits of the proposed algorithm are highlighted through extensive results.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation ABSTRACT: The ability to precisely locate ground devices (GDs) is essential for a wide range of different applications,
PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network ABSTRACT: Because of the proliferation of wireless networks, wireless sensor networks
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry