Evaluating the Efficacy of
Forward Error Correction Coding
Abstract
We
propose a model-based analytic approach for evaluating the overall efficacy of
FEC coding combined with interleaving in combating packet losses in IP
networks. The loss of various packets during the data transmission can be
reduced by using FEC coding. In this project we are going to evaluate the
efficacy of FEC coding.
Particularly modeling the network path in
terms of a single bottleneck node. We develop a procedure for the exact
evaluation of the packet-loss statistics for general arrival processes, based
on a framework. We study both single-session and multiple-session scenarios,
and provide a simple procedure for the more complicated multiple-session
scenario.
We
show that the unified approach provides an integrated framework for exploring
the tradeoffs between the key coding parameters; specifically, interleaving
depths, channel coding rates and block lengths.
The
approach facilitates the selection of optimal coding strategies for different
applications with various user quality-of-service (QoS) requirements and system
constraints. We also provide an information-theoretic bound on the performance
achievable with FEC coding in IP networks.
Existing System:
·
For analysis
purposes the packet-loss process resulting from the single-multiplexer model
was assumed to be independent and, consequently, the simulation results
provided show that this simplified analysis considerably overestimates the
performance of FEC.
·
Evaluation of FEC
performance in multiple sessions was more complex in existing applications.
·
Surprisingly, all
numerical results given indicates that the resulting residual packet-loss rates
with coding are always greater than without coding, i.e., FEC is ineffective in
this application.
·
The increase in
the redundant packets added to the data will increase the performance, but it
will also make the data large and it will also lead to increase in data loss.
Proposed System:
·
In this work we have evaluated the performance of FEC coding more
accurately than previous works.
·
We have reduced the complexity in multiple sessions and introduced a
simple way for its implementation.
·
We show that the unified approach provides an integrated framework for
exploring the tradeoffs between the key coding parameters: specifically,
Interleaving depths, channel coding rates and block lengths.
·
Thus by choosing the coding parameter appropriately we have achieved high
performance of FEC, reduced the time delay for Encoding and Decoding with
Interleaving.
System
Requirements
Hardware:
PROCESSOR :
PENTIUM IV 2.6 GHz
RAM : 512
MB
MONITOR : 15”
HARD DISK : 20
GB
CDDRIVE : 52X
KEYBOARD : STANDARD
102 KEYS
MOUSE : 3 BUTTONS
Software:
FRONT END : JAVA, SWING
TOOLS USED : JFRAME BUILDER
OPERATING SYSTEM : WINDOWS XP
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