An Enhanced Queue Management Scheme for TFRC Over Wired Networks
Journal Title: International Journal of Intelligent Engineering and Systems - Year 2017, Vol 10, Issue 1
Abstract
Multiple senders share bandwidth and send their data in high speed over the wired network. This may lead to congestion in the network. Congestion control plays a prominent role in network resource management. Effective mechanisms are needed to control the congestion in the network. In Transport layer, TCP Friendly Rate Control (TFRC) has been widely used for advanced multimedia streaming application over wired networks to give best smoothing sending rate. However, there exists packet loss due to high traffic in the network. To alleviate the barriers of congestion and reduce packet loss in the network, one needs to implement best queue management mechanisms to help the TFRC. In this paper, we have applied enhanced queue management scheme to TFRC. The simulation results have shown that this strategy reduces packet loss and increases throughput.
Authors and Affiliations
Ramanjaneya Nalavala
Keywords
Related Articles
- EP ID EP229390
- DOI 10.22266/ijies2017.0228.03
- Views 138
- Downloads 0
Optimal Decision Tree Based Unsupervised Learning Method for Data Clustering
Clustering is an investigative data analysis task. It aims to find the intrinsic structure of data by organizing data objects into similarity groups or clusters. Our investigation using a pattern based clustering on nume...
Grey Fuzzy Neural Network-Based Hybrid Model for Missing Data Imputation in Mixed Database
Nowadays, the missing data imputation is the novel paradigm to replace with the imputed value of the missing attribute. The missing data occurs due to bias information, non-response of the system. In the medical domain,...
Automatic Detection and Classification of Masses in Digital Mammograms
Breast Cancer is still one of the leading cancers in women. Mammography is the best tool for early detection of breast cancer. In this work methods for automatic detection and classification of masses into benign or mali...
Classification of Imbalanced Data Using a Modified Fuzzy-Neighbor Weighted Approach
Classification of imbalanced datasets is one of the widely explored challenges of the decade. The imbalance occurs in many real world datasets due to uneven distribution of data into classes, i.e. one class has more inst...
Multi Agent Based Diabetes Diagnosing and Classification with the Aid of Hybrid Firefly-Neural Network
A multi agent distributed data mining system for diagnosing diabetes and classification is proposed. Here we are introducing four agents namely user agent, connection agent, updation agent, and security agent. In which e...