Comparative Analysis of Congestion Control Algorithms Using ns-2

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In order to curtail the escalating packet loss rates caused by an exponential increase in network traffic, active queue management techniques such as Random Early Detection (RED) have come into picture. Flow Random Early Drop (FRED) keeps state based on instantaneous queue occupancy of a given flow. FRED protects fragile flows by deterministically accepting flows from low bandwidth connections and fixes several shortcomings of RED by computing queue length during both arrival and departure of the packet. Stochastic Fair Queuing (SFQ) ensures fair access to network resources and prevents a busty flow from consuming more than its fair share. In case of (Random Exponential Marking) REM, the key idea is to decouple congestion measure from performance measure (loss, queue length or delay). Stabilized RED (SRED) is another approach of detecting nonresponsive flows. In this paper, we have shown a comparative analysis of throughput, delay and queue length for the various congestion control algorithms RED, SFQ and REM. We also included the comparative analysis of loss rate having different bandwidth for these algorithms.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Comparative Analysis of Congestion Control Algorithms Using ns-2 does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Comparative Analysis of Congestion Control Algorithms Using ns-2, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Comparative Analysis of Congestion Control Algorithms Using ns-2 will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-350662

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.