TCP I-Vegas in Mobile-IP Network
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 2
Abstract
Mobile Internet Protocol (Mobile-IP or MIP) provides hosts with the ability to change their point of attachment to the network without compromising their ability to communicate. However, when TCP Vegas is used over a MIP network, its performance degrades because it may respond to a handoff by invoking its congestion control algorithm. TCP Vegas is sensitive to the change of Round-Trip Time (RTT) and it may recognize the increased RTT as a result of network congestion. This is because TCP Vegas could not differentiate whether the increased RTT is due to route change or network congestion. This paper presents a new and improved version of conventional TCP Vegas, which we named as TCP I-Vegas (where “I”, stands for Improved). Vegas performs well when compared to Reno but when sharing bandwidth with Reno its performance degrades. I-Vegas has been designed keeping in mind that whenever TCP variants like Reno has to share the bandwidth with Vegas then instead of using Vegas, if we use I-Vegas then the loss which Vegas would have to bear will not be more. We compared the performance of I-Vegas with Vegas in MIP environment using Network Simulator (NS-2). Simulation results show that I-Vegas performs better than Vegas in terms of providing better throughput and congestion window behavior.
Authors and Affiliations
Nitin Jain, Dr. Neelam Srivastava
Empirical Evaluation of Modified Agile Models
Empirical evaluation is one of the widely accepted validation method in the domain of software engineering which investigates the proposed technique via practical experience and reflects its benefits and limitations. Due...
A Simulation Model for Nakagmi-m Fading Channel with m>1
In this paper, we propose a model to simulate a wireless fading channel based on Nakagami-m distribution with m>1. The Nakagami-m fading channel is the most generalized distribution as it can generate one-sided Gaussi...
Intelligent System for Detection of Micro-Calcification in Breast Cancer
Recently; medical image mining has become one of the well-recognized research area(s) of machine learning and artificial intelligence techniques have been vastly used in various computer added diagnostic systems. Specifi...
An Enhanced Deep Learning Approach in Forecasting Banana Harvest Yields
This technical quest aspired to build deep multifaceted system proficient in forecasting banana harvest yields essential for extensive planning for a sustainable production in the agriculture sector. Recently, deep-learn...
Computer Aided Design and Simulation of a Multiobjective Microstrip Patch Antenna for Wireless Applications
The utility and attractiveness of microstrip antennas has made it ever more important to find ways to precisely determine the radiation patterns of these antennas. Taking benefit of the added processing power of today’...