Quality of Service as a Baseline for 5G: A Recent Study of 4G Network Performance in Thailand

2020 ◽  
Author(s):  
Therdpong Daengsi ◽  
Pongpisit Wuttidittachotti
Keyword(s):  
Quality Of Service ◽  
Network Performance

Demand of Wireless Network and Security in Current Research

2015 ◽  
Vol 14 (6) ◽  
pp. 5809-5813
Author(s):  
Abhishek Prabhakar ◽  
Amod Tiwari ◽  
Vinay Kumar Pathak
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Wireless Network ◽  
Network Performance ◽  
Wireless Security ◽  
Human Intervention ◽  
Unauthorized Access ◽  
Quality Of Service Parameters ◽  
Wireless Infrastructure

Wireless security is the prevention of unauthorized access to computers using wireless networks .The trends in wireless networks over the last few years is same as growth of internet. Wireless networks have reduced the human intervention for accessing data at various sites .It is achieved by replacing wired infrastructure with wireless infrastructure. Some of the key challenges in wireless networks are Signal weakening, movement, increase data rate, minimizing size and cost, security of user and QoS (Quality of service) parameters... The goal of this paper is to minimize challenges that are in way of our understanding of wireless network and wireless network performance.

scholarly journals Virtual Link Aggregation Network Performance Using MikroTik Bonding

2020 ◽  
Vol 2 (2) ◽  
pp. 131-139
Author(s):  
Firmansyah Firmansyah ◽  
Mochamad Wahyudi ◽  
Rachmat Adi Purnama
Keyword(s):  
Quality Of Service ◽  
Transfer Rate ◽  
Network Performance ◽  
Data Packet ◽  
Virtual Link ◽  
Interface Bonding ◽  
Data Packets ◽  
Bandwidth Optimization ◽  
Network Link

Quality of Service in a network is a big thing that must be resolved and dealt with as best as possible. The limitation of the maximum transfer rate in network devices creates an obstacle in the process of transferring data packets. To maximize the transfer rate in network devices, you can use Virtual Link Aggregation which can offer bandwidth optimization and failover in the network. Link aggregation is a solution in combining several physical links into one logical link. The method used in this research is to consider the allocation of bandwidth, load balancing and failover in the link aggregation. From the results of the link aggregation test using two (2) interface bonding, the results of the bandwidth averages when there is a UPD data packet transfer to 0 bps / 184.9 Mbps, which was previously around 0 bps / 91.6 Mbps. While the result of the bandwidth averages when the TCP data packet transfer occurs is 0 bps / 105.5 Mbps, which was previously around 0 bps / 93.8 Mbps. Link Aggregation using a Mikrotik Router is a solution to produce a larger Throughput Bandwidth by combining two (2) Ethernet Physical Links into one logical link.

Voice and Video over Gigabit Ethernet and ATM Backbone Networks

2014 ◽  
pp. 174-184
Author(s):  
Nurul I. Sarkar ◽  
Yash Dole
Keyword(s):  
Quality Of Service ◽  
Network Performance ◽  
Performance Metrics ◽  
Asynchronous Transfer Mode ◽  
Atm Networks ◽  
Gigabit Ethernet ◽  
Corporate Networks ◽  
Backbone Networks ◽  
Network Technologies

This chapter aims to report on the performance of voice and video traffic over two popular backbone network technologies, namely Gigabit Ethernet (GbE) and Asynchronous Transfer Mode (ATM). ATM networks are being used by many universities and organizations for their unique characteristics such as scalability and guaranteed Quality of Service (QoS), especially for voice and video applications. Gigabit Ethernet matches ATM functionality by providing higher bandwidth at much lower cost, less complexity, and easier integration into the existing Ethernet technologies. It is useful to be able to compare these two technologies against various network performance metrics to find out which technology performs better for transporting voice and video conferencing. This chapter provides an in-depth performance analysis and comparison of GbE and ATM networks by extensive OPNET-based simulation. The authors measure the Quality of Service (QoS) parameters, such as voice and video throughput, end-to-end delay, and voice jitter. The analysis and simulation results reported in this chapter provide some insights into the performance of GbE and ATM backbone networks. This chapter may help network researchers and engineers in selecting the best technology for the deployment of backbone campus and corporate networks.

Best Communication Node Election for well-organized Path in Flat Topology

2017 ◽  
Vol 8 (2) ◽  
pp. 555
Author(s):  
M. Nisha ◽  
S. Poongavanam
Keyword(s):  
Quality Of Service ◽  
Sensor Networks ◽  
Power Supply ◽  
Data Transmission ◽  
Network Performance ◽  
Node Selection ◽  
Transmission Process ◽  
Research Protocols ◽  
Node Energy

<p>There has been an increasing attentiveness in the uses of sensor networks. Because sensors are normally controlled in on-board power supply, proficient supervision of the network is essential in improving the life of the sensor.<strong> </strong>The majority research protocols objective at offering link breakage reducing and mitigating from the same. Yet, selecting the well-organized communication do all the beneficial to the transmission process thus demonstrating better improvement in the network performance. In this article, we propose Best Communication Node Election for well-organized Path in Flat Topology The main goal of this<strong> </strong>work is to choose the best data transmission node in flat topology for improve the multi hop routing. This scheme, the best communication node selection based on Path Metric and this Path Metric is measured by the packet obtained rate, dropped rate, latency rate and node energy. This scheme provide guarantees quality of Service in the network.</p>

scholarly journals Wireless Networks Performance Monitoring Based on Passive-active Quality of Service Measurements

2020 ◽  
Vol 12 (6) ◽  
pp. 15-32
Author(s):  
Yazeed A. Al-Sbou
Keyword(s):  
Quality Of Service ◽  
Wireless Ad Hoc Networks ◽  
Network Performance ◽  
Performance Monitoring ◽  
Ad Hoc ◽  
Packet Losses ◽  
Actual Application ◽  
Qos Parameters ◽  
Hoc Networks

Monitoring of the performance of wireless network is of vital importance for both users and the service provider which should be accurate, simple and fast enough to reflect the network performance in a timely manner. The aim of this paper is to develop an approach which can infer the performance of wireless ad hoc networks based on Quality of service (QoS) parameters assessment. The developed method considers the QoS requirements of multimedia applications transmitted over these kind of networks. This approach is based on the ideas of combination of both active and passive measurement methods. This approach uses an in-service measurement method in which the QoS parameters of the actual application (user) are estimated by means of dedicated monitoring packets (probes). Afterwards, these parameters are combined to produce and assess the application’s overall QoS using the fuzzy logic assessment and based on the measured QoS parameters estimated using the probe traffic. The active scheme is used to generate monitoring probe packets which are inserted between blocks of target application packets at regular intervals. While the passive monitoring is utilized to act as a traffic meter which performs as a counter of user packets (and bytes) that belong to the application (user) traffic flow that is subjected to monitoring. After simulating the developed technique, it offered a good estimation for the delay, throughput, packet losses and the overall QoS when using different probe rates.

scholarly journals Technical Measurement of a Mobile Network Performance and Quality of Service (Chapter 3 of Network Performance and Quality of Service)

2018 ◽  
Author(s):  
Sigit Haryadi
Keyword(s):  
Quality Of Service ◽  
Measurement System ◽  
Network Performance ◽  
Mobile Network ◽  
Measurement Methods ◽  
Public Land ◽  
Technical Measurement

1.Theory of the QoS Measurement Methods; 2.Description of the Measurement system for a Public Land Mobile Network; 3.Types of Aggregate Measurement; 3.1.Some Examples of Aggregation Measurement of the Mobile Network

Software-Defined Networking’s Traffic Engineering Benefits the Improvement of Network Performance

2020 ◽  
Vol 17 (1) ◽  
pp. 27-31
Author(s):  
B. Naveen Chandar ◽  
N. Arivazhagan ◽  
K. Venkatesh
Keyword(s):  
Quality Of Service ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Network Performance ◽  
Packet Delay ◽  
Software Defined Networking ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Network Resource

Quality of Service is considered as one of the important specifications in Software Defined Networking and we are focusing on Traffic Engineering which is capable of managing traffic characteristics like bandwidth for improving network performance. In this paper, performance evaluation of Quality of Service parameters such as Packet Delivery Ratio, Packet Delay and Packet Loss are performed with Network simulator 2 for all types of Software Defined Networking topologies. To do such evaluation on these parameters we use Traffic Engineering, which helps on improving the network performance, design mechanisms for routing to manage the traffic in network by improving the network resource usages and other major Quality of Service requisites. So in this proposed methodology, we use point-to-point topology related to traffic calculation which includes network parameters like general calculation of a framework, analyzing the traffic and future indication. Also the work process relevant to traffic management includes bandwidth of the traffic, scheduling of Quality of Service-assurance, saving power and management of traffic in Software Defined Networking. Existing technologies used for the above parameters are discussed below and our insights for future development on traffic engineering between the nodes in Software Defined Networking are offered.

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