Abstract: Traditional Karn's techniques, along with other techniques, could render the system unreliable because they provide a feedback mechanism to identify and correct errors. Increased error rates and decreased data integrity could come from this approach. Traditional Karn's method and other algorithms aren't likely to be able to manage an enormous number of users or adapt to shifting network circumstances, which could limit their potential to scale. This may reduce their utility in extensive networks. Inadequate security measures in the traditional Karn's algorithm, along with additional algorithms, could render them vulnerable to unauthorized access and data breaches. Since traditional Karn's method and other algorithms employ a constant retransmission rate, these techniques may not be ideal for changing network circumstances and have limited efficiency. As a consequence of this, it could result in greater delay, slower data transfer, and higher latency. The Dynamic Adaptive ARQ (DA-ARQ) method, which is more effective than the traditional Karn's method because it employs a dynamic approach to change the retransmission rate based on the network conditions, is the primary focus of this proposed survey paper. Overall, the DA-ARQ algorithm is more efficient, dependable, and secure than conventional Karn's method and other algorithms because of its dynamic and adaptive nature.

Keywords: Traditional Karn’s Approach, Dynamic Adaptive ARQ (DA-ARQ), Retransmission Rate, Increased Error Rates

PDF | DOI: 10.17148/IJARCCE.2023.12739

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