A Model-Based Approach to Evaluation of the Efficacy of FEC Coding in Combating Network Packet Losses

Introduction to A Model-Based Approach to Evaluation of the Efficacy of FEC Coding in Combating Network Packet Losses:

During data transmission via network the loss of packets of data is one of the most common bugs we come across. FEC Coding or forward error correction coding ensures these errors are under control during the transmission of data over noisy and uncontrollable channels. Based onFEC, the receiver would be able to rectify the errors without needing to re send the data again.

The information is generally stored in a mass storage mechanism for easy retrieval. Main types of FEC coding are the block and convectional codes. Based on a particular framework a procedure is developed by evaluation session scenarios and the packet loss is evaluated based on it. In order to increase the performance of the system, the depths are interleaved, coding rates are channeled and lengths are blocked.

In the present system the loss of packets of data are assumed to be independent of the single multiplexer model process which subsequently will make the FEC performance notes estimation incorrect; moreover the results we get in numerical analysis with and without writing codes are totally different. Also the complexity is bit on the higher side during multi session. In the present system the correct efficiency of FEC cannot be judged at a correct proportion. In the proposed system a model based approach is proposed making it calculate the efficiency of FEC at more accuracy.

The single and multi-session conditions are taken and studied as separate ones reducing the overall complexity of the system. The losses occurred during the packet data transfer can be restored or recovered in a network on one condition that the rate and parameters of coding are chosen correctly. Due to this the efficiency of the performance of FEC can be noted and interpreted accurately. The complexity surrounding FEC and the subsequent calculation are considerably reduced.

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