退避方法的性能评价——退避因子对指数退避算法的影响

Deepa Singh, B. Pandey, G. Tomar, Bimal Kumar Sarkar
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引用次数: 6

摘要

本文分析了后退因子对指数算法的影响,并在matlab实验室中实现了二进制指数算法。二进制指数算法是一种广泛使用的网络拥塞避免或冲突解决协议。本文对饱和吞吐量进行了详细的分析。本工作还涵盖了给定节点数n的分组介质访问延迟。二进制指数是r =2时指数退缩的一种特殊情况,其中r为退缩因子,我们基本分析了退缩因子r =1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0对指数退缩算法的影响。所有结果均通过Matlab (Matrix Laboratory)仿真语言得到。
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Performance Evaluation of Backoff Method -- Effect of Backoff Factor on Exponential Backoff Algorithm
In this paper the effect of back off factor on exponential algorithm is analyzed and binary exponential algorithm is implemented in Mat lab. Binary Exponential Algorithm is widely used as a network congestion avoidance or collision resolution protocol. The detailed analysis of saturation throughput is done in this work. This work also covers packet's medium access delay for a given number of node N. Binary exponential is a special case of exponential back off when r =2, where r is a back off factor and we basically analyse the effect of back off factor r =1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0 on exponential back off algorithm. All the result is obtained through Matlab (Matrix Laboratory) simulation language.
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