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Evaluating the Efficacy of Forward Error Correction Coding


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 session 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 session 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
PROCESSOR        :    PENTIUM IV 2.6 GHz
RAM                      :    512 MB
MONITOR             :    15”
HARD DISK         :     20 GB
CDDRIVE              :    52X
KEYBOARD         :     STANDARD 102 KEYS
MOUSE                 :    3 BUTTONS
FRONT END                  :    JAVA, SWING
TOOLS USED                :    JFRAME BUILDER

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