基于改进动态概率泛洪仿真的manet性能评价

Abdalla M. Hanashi, I. Awan, M. Woodward
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引用次数: 5

摘要

广播是一种基本的数据传播技术,具有地址解析和路由发现等多种应用。虽然数据广播有很多优点,但它也带来了一些问题,即广播风暴问题,它会导致大量的争用、冗余重传和冲突。在本文中,我们的目标是减少重传次数以及获得较少的碰撞次数。一个好的概率广播协议可以实现高保存重播和低冲突。本文提出了一种概率方法,根据随机路径点迁移模型,根据节点移动时的邻居节点数计算重播概率,并与简单泛洪、调整概率泛洪[4,7]和动态概率泛洪[14]方案进行了比较。仿真结果表明,改进后的方法优于简单驱油、调整概率驱油[4,7]和动态概率驱油[14]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation Based on Simulation of Improving Dynamic Probabilistic Flooding in MANETs
Broadcasting is a basic data dissemination technique, which has a number of applications such as address resolution and route discovery. While data broadcasting has many advantages, it introduces some problems known as broadcast storm problems, which causing a lot of contention, redundant retransmission and collision. In this paper our objective is to reduce the number of retransmission as well as to obtain less number of collisions. A good probabilistic broadcast protocol can achieve high save rebroadcast and low collision. In this paper, we propose a probabilistic approach that calculates the rebroadcast probability according to the number of neighbour's nodes when nodes move according to random way point mobility model and compare it with simple flooding, adjusted probabilistic flooding [4,7] and dynamic probabilistic flooding [14] schemes. Simulation results show our improved approach performs better than simple flooding, adjusted probabilistic flooding [4,7] and dynamic probabilistic flooding [14].
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