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On a Modified Backoff Algorithm for MAC Protocol in MANETs

机译：MANET中MAC协议的改进退避算法研究。

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摘要

In wireless communication environments, backoff is traditionally based on the IEEE binary exponential backoff (BEB). Using BEB results in a high delay in message transmission, collisions, and ultimately wasting the limited available bandwidth. As each node has to obtain medium access before transmitting a message, in dense networks, the collision probability in the medium access control (MAC) layer becomes very high, when a poor backoff algorithm is used. The logarithmic algorithm proposes some improvements to the backoff algorithms that aim to efficiently use the channel and to reduce collisions. The algorithm understudy is based on changing the incremental behavior of the backoff value. The BEB is used by the local area networks (LANs) standards, IEEE 802.11, MAC. BEB uses a uniform random distribution to choose the backoff value; this often leads to reducing the effect of a window-sized increment. This paper carries out a deeper study and analysis of the logarithmic backoff algorithm that uses logarithmic increments, instead of an exponential extension of the window she to eliminate the degrading effect of random number distribution. Results from simulation experiments reveal that the algorithm subject under study achieves higher throughput and less packet loss, when in a mobile ad hoc environment.
机译：在无线通信环境中，退避传统上是基于IEEE二进制指数退避（BEB）的。使用BEB会导致消息传输，冲突的高延迟，并最终浪费有限的可用带宽。由于每个节点在发送消息之前都必须获得媒体访问权限，因此在密集网络中，当使用不良的退避算法时，媒体访问控制（MAC）层中的冲突概率会非常高。对数算法对退避算法提出了一些改进，目的是有效使用信道并减少冲突。该算法的研究基于更改退避值的增量行为。 BEB由局域网（LAN）标准，IEEE 802.11，MAC使用。 BEB使用均匀随机分布选择退避值；这通常导致减小窗口大小的增量的影响。本文对使用对数增量而不是窗口的指数扩展的对数退避算法进行了更深入的研究和分析，以消除随机数分布的降级效果。仿真实验的结果表明，在移动自组织环境中，所研究的算法主题可实现更高的吞吐量和更少的数据包丢失。

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