scholarly journals Bandwidth Estimation Algorithm of WestwoodNR for Wireless Network

2018 ◽  
Vol 7 (2.16) ◽  
pp. 114
Author(s):  
Pandya Vyomal N ◽  
P. Rahul Reddy ◽  
Abhishek Choubey
Keyword(s):  
Transmission Control Protocol ◽  
Estimation Algorithm ◽  
Error Recovery ◽  
Network Capacity ◽  
Bandwidth Estimation ◽  
Bandwidth Utilization ◽  
Available Bandwidth ◽  
Slow Start ◽  
Recovery Mechanisms ◽  
To Come

Two widely known parameters of Transmission Control Protocol (TCP) used to control the flow of packets are Congestion Window (cwnd)  & Slow Start Threshold (ssthresh). After congestion, slow start phase or fast-retransmit phase come in action wherein TCP has an important role in the reduction of these parameters. This is in response to packet loss identified by TCP. This in turn will cause unnecessary reduction of data flow & degradation of TCP throughput. Researchers have developed some algorithms to come out of this problem, WestwoodNR is one of them. WestwoodNR is using Bandwidth Estimation algorithm to estimate available bandwidth, to make effective use of available network capacity even after the congestion episode. It allows higher values of ssthresh & cwnd when it enters the fast-retransmit phase and slow start phase. In turn this algorithm claims better performance in terms of bandwidth utilization. The focus of this paper is on error recovery mechanisms suitable for WestwoodNR operating over the wireless sub path. These mechanisms have to address the increased bit error probability and temporary disruptions of wireless links. The efficiency of WestwoodNR within wireless scenarios is investigated and possible modifications that lead to higher performance are pointed out.

CAPEST: Offloading Network Capacity and Available Bandwidth Estimation to Programmable Data Planes

2020 ◽  
Vol 17 (1) ◽  
pp. 175-189
Author(s):  
Nicolas Silveira Kagami ◽  
Roberto Iraja Tavares da Costa Filho ◽  
Luciano Paschoal Gaspary
Keyword(s):  
Network Capacity ◽  
Bandwidth Estimation ◽  
Available Bandwidth ◽  
Available Bandwidth Estimation

Estimation of Available Bandwidth for High Capacity Links Over Industrial Applications

2015 ◽  
Vol 1 (3) ◽  
pp. 346
Author(s):  
Ghassan A. Abed ◽  
Sawsan N. Abdullah
Keyword(s):  
Network Performance ◽  
Transmission Control Protocol ◽  
High Capacity ◽  
Industrial Applications ◽  
Network Resource ◽  
Available Bandwidth ◽  
Slow Start ◽  
Large Bandwidth ◽  
Tcp Protocol ◽  
Considerable Degradation

Transmission Control Protocol (TCP) is built on the concept of self-clocking technique and this concept based on several characteristics. The slow-start mechanism represents the prime technique for usage the operative network resource. The objective of the slow start mechanism is to create a TCP connection in an optimal state - run for network route rapidly without giving a disproportionate load to the network. Due to the rate of packet transferred is limited by the bandwidth of the narrowest bottleneck alongside the connection pipe, then, the transferring rate cannot exceed this bandwidth and the maximum rate competitions the permissible bandwidth of the link that own narrowest bandwidth over end-to-end connections. In large bandwidth networks, the mechanism of slow-start does not perform suitably and may cause considerable degradation in network performance. Therefore, it's necessary to develop a new slow-start technique that can increase the packet transferring over large bandwidth links environments. This article investigates the behaviour of TCP protocol after applying a technique based on using available bandwidth estimation to detect the current level of the network slow-start threshold (ssthresh) in high capacity links used over industrial application.

scholarly journals Campus realities: Forecasting user bandwidth utilization using monte carlo simulation

2020 ◽  
Vol 10 (5) ◽  
pp. 4809
Author(s):  
Haruna Bege ◽  
Aminu Yusuf Zubairu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Network Design ◽  
Network Performance ◽  
Network Capacity ◽  
Traffic Load ◽  
Smart Devices ◽  
Campus Network ◽  
Bandwidth Utilization ◽  
Available Bandwidth

Adequate network design, planning, and improvement are pertinent in a campus network as the use of smart devices is escalating. Underinvesting and overinvesting in campus network devices lead to low network performance and low resource utilization respectively. Due to this fact, it becomes very necessary to ascertain if the current network capacity satisfies the available bandwidth requirement. The bandwidth demand varies from different times and periods as the number of connected devices is on the increase. Thus, emphasizing the need for adequate bandwidth forecast. This paper presents a Monte Carlo simulation model that forecast user bandwidth utilization in a campus network. This helps in planning campus network design and upgrade to deliver available content in a period of high and normal traffic load.

Network Selection in Wireless Heterogeneous Environment Based on Available Bandwidth Estimation

2019 ◽  
Vol 12 ◽  
Author(s):  
Kiran Ahuja ◽  
Brahmjit Singh ◽  
Rajesh Khanna
Keyword(s):  
Real Time ◽  
Estimation Error ◽  
Network Selection ◽  
Bandwidth Estimation ◽  
Heterogeneous Environment ◽  
Bootstrap Approximation ◽  
Available Bandwidth ◽  
Internet Connection ◽  
Available Bandwidth Estimation ◽  
Selection Of

Background: With the availability of multiple options in wireless network simultaneously, Always Best Connected (ABC) requires dynamic selection of the best network and access technologies. Objective: In this paper, a novel dynamic access network selection algorithm based on the real time is proposed. The available bandwidth (ABW) of each network is required to be estimated to solve the network selection problem. Method: Proposed algorithm estimates available bandwidth by taking averages, peaks, low points and bootstrap approximation for network selection. It monitors real-time internet connection and resolves the selection issue in internet connection. The proposed algorithm is capable of adapting to prevailing network conditions in heterogeneous environment of 2G, 3G and WLAN networks without user intervention. It is implemented in temporal and spatial domains to check its robustness. Estimation error, overhead, estimation time with the varying size of traffic and reliability are used as the performance metrics. Results: Through numerical results, it is shown that the proposed algorithm’s ABW estimation based on bootstrap approximation gives improved performance in terms of estimation error (less than 20%), overhead (varies from 0.03% to 83%) and reliability (approx. 99%) with respect to existing techniques. Conclusion: Our proposed methodology of network selection criterion estimates the available bandwidth by taking averages, peaks, and low points and bootstrap approximation method (standard deviation) for the selection of network in the wireless heterogeneous environment. It monitors real-time internet connection and resolves internet connections selection issue. All the real-time usage and test results demonstrate the productivity and adequacy of available bandwidth estimation with bootstrap approximation as a practical solution for consistent correspondence among heterogeneous wireless networks by precise network selection for multimedia services.

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