Multi-layer Performance Measurements over Optical Testbeds and QoS Provisioning for High-Bandwidth Video Applications

2006 ◽  
Author(s):  
Susanne Naegele-Jackson ◽  
Peter Holleczek ◽  
Jochen Reinwand
Keyword(s):  
Qos Provisioning ◽  
Performance Measurements ◽  
High Bandwidth

scholarly journals On the Tradeoff between Performance and Programmability for Software Defined WiFi Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Tausif Zahid ◽  
Xiaojun Hei ◽  
Wenqing Cheng ◽  
Adeel Ahmad ◽  
Pasha Maruf
Keyword(s):  
Performance Optimization ◽  
Traffic Flows ◽  
Network Access ◽  
Performance Measurements ◽  
Throughput Performance ◽  
Wifi Networks ◽  
Traffic Loads ◽  
High Bandwidth ◽  
Potential Benefits ◽  
Sdn Controller

WiFi has become one of the major network access networks due to its simple technical implementation and high-bandwidth provisioning. In this paper, we studied software defined WiFi networks (SDWN) against traditional WiFi networks to understand the potential benefits, such as the ability of SDWN to effectively hide the handover delay between access points (AP) of the adoption of the SDWN architecture on WiFi networks and identify representative application scenarios where such SDWN approach could bring additional benefits. This study delineated the performance bottlenecks such as the throughput degradation by around 50% compared with the conventional WiFi networks. In addition, our study also shed some insights into performance optimization issues. All of the performance measurements were conducted on a network testbed consisting of a single basic service set (BSS) and an extended service set (ESS) managed by a single SDN controller deployed with various laboratory settings. Our evaluation included the throughput performance under different traffic loads with different number of nodes and packet sizes for both TCP and UDP traffic flows. Handover delays were measured during the roaming phase between different APs against the traditional WiFi networks. Our results have demonstrated the tradeoff between performance and programmability of software defined APs.

QoS Support in the Cognitive Radio Networks

2013 ◽  
pp. 227-245
Author(s):  
Kiam Cheng How ◽  
Maode Ma
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Mesh Networks ◽  
Radio Networks ◽  
Future Research ◽  
Qos Provisioning ◽  
Medium Access ◽  
Mesh Topology ◽  
Network Layers ◽  
High Bandwidth

Wireless Mesh Networks (WMNs) are communications networks made up of radio nodes organized in a mesh topology. As a direct evolution from WMNs, the Cognitive Radio Networks (CRN) are similar to the WMNs in many ways. Correspondingly, CRNs are also expected to support delay sensitive and/or high bandwidth real-time streaming multimedia applications like live video streaming, VoIP (Voice-over-IP), video conferencing, online gaming, and so on. However, Quality-of-Service (QoS) provisioning in CRNs is very challenging due to various issues. In this chapter, issues that take place on different network layers, chiefly the physical, MAC (Medium Access Control), and network layer are examined. This chapter also studies and reviews existing proposals to tackle the challenging issue of QoS provisioning in CRNs. Based on these reviews, gaps are identified in existing proposals and some possible solutions are suggested. In the second part of the chapter, the authors look into how greater QoS provisioning capabilities are provided by two proposed routing protocols for CRNs utilizing a variety of techniques. A conclusion is provided at the last part of the chapter together with possible future research directions.

scholarly journals Wireless Networks Coexistence in Unlicensed Bands

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Zorica Nikolić ◽  
Nenad Milošević ◽  
Milorad Tošić ◽  
Valentina Nejković ◽  
Filip Jelenković
Keyword(s):  
Communication Networks ◽  
Frequency Band ◽  
Code Generation ◽  
Software Radio ◽  
Data Traffic ◽  
Formal Representation ◽  
Performance Measurements ◽  
High Bandwidth ◽  
Unlicensed Bands ◽  
5 Ghz

Mobile communication networks are constantly evolving, and each new generation provides considerably higher datatransmission capabilities. Having in mind predictions of high cellular data traffic growth over the next few years, it is clear that thelicensed band communications would have problems to support such a high bandwidth demand. One of the possible solutions to thisproblem is to adaptively use some additional spectrum out of the dedicated licensed band, such as the unlicensed bands. LTE-Astandard introduced a new mechanism, named Carrier Aggregation, which provides the possibility to simultaneously use multiplefrequency bands, such as the licensed and unlicensed bands. In order to work in an unlicensed band, LTE has to employ some newprocedures that provide shared access with other systems using the same frequency band, such as WiFi. These procedures includespectrum sensing, dynamic frequency selection, as well as the coordination of the shared access. Performance measurements and theanalysis of the procedures in 5 GHz frequency band will be shown in this paper. Since there is no available LTE hardware operating in5 GHz band, it has to be made in a laboratory using the software radio approach. The description of such an experiment may becomplex, and therefore we describe and propose the concept of the automatic experiment code generation. The automatic codegeneration is based on the semantic descriptions of experiments, and it is flexible due to the adoption of the domain and systemontologies for formal representation of the semantics of the problem.

Simulation Tool for Assignment Models: SIMASI

2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali
Keyword(s):  
Optimization Procedure ◽  
Simulation Tool ◽  
Optimization Strategy ◽  
Performance Measurements ◽  
Integrated Simulation ◽  
Assignment Model ◽  
Classical Models ◽  
Simulation Results ◽  
User Friendly ◽  
Assignment Models

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 

High-Bandwidth Laser-Absorption Measurements of Temperature, Pressure, CO, and H2O in the Annulus of a Rotating Detonation Rocket Engine

2021 ◽  
Author(s):  
Garrett C. Mathews ◽  
Matthew Blaisdell ◽  
Aaron I. Lemcherfi ◽  
Carson D. Slabaugh ◽  
Christopher S. Goldenstein
Keyword(s):  
Rocket Engine ◽  
Laser Absorption ◽  
High Bandwidth ◽  
Rotating Detonation ◽  
Absorption Measurements

Detection of Biomedical Images by Using Bio-inspired Artificial Intelligent

2020 ◽  
Vol 38 (2A) ◽  
pp. 255-264
Author(s):  
Hanan A. R. Akkar ◽  
Sameem A. Salman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mean Square Error ◽  
Average Rate ◽  
Mean Square ◽  
Performance Measurements ◽  
Artificial Intelligent ◽  
Average Mean Square Error ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Computer vision and image processing are extremely necessary for medical pictures analysis. During this paper, a method of Bio-inspired Artificial Intelligent (AI) optimization supported by an artificial neural network (ANN) has been widely used to detect pictures of skin carcinoma. A Moth Flame Optimization (MFO) is utilized to educate the artificial neural network (ANN). A different feature is an extract to train the classifier. The comparison has been formed with the projected sample and two Artificial Intelligent optimizations, primarily based on classifier especially with, ANN-ACO (ANN training with Ant Colony Optimization (ACO)) and ANN-PSO (training ANN with Particle Swarm Optimization (PSO)). The results were assessed using a variety of overall performance measurements to measure indicators such as Average Rate of Detection (ARD), Average Mean Square error (AMSTR) obtained from training, Average Mean Square error (AMSTE) obtained for testing the trained network, the Average Effective Processing Time (AEPT) in seconds, and the Average Effective Iteration Number (AEIN). Experimental results clearly show the superiority of the proposed (ANN-MFO) model with different features.

High bandwidth flatness-based control of a PM-motor with protections in case of saturations

2014 ◽  
Vol 17 (3-4) ◽  
pp. 115-132
Author(s):  
Alexandre Battiston ◽  
El-Hadj Miliani ◽  
Jean-Philippe Martin ◽  
Babak Nahid-Mobarakeh ◽  
Serge Pierfederici ◽  
...  
Keyword(s):  
High Bandwidth
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