A Fuzzy Set Approach in MANET with FSR (Fisheye State Routing) Protocol
A Fuzzy Set Approach in MANET with FSR (Fisheye State Routing) Protocol
复制标题
一种采用FSR（鱼眼状态路由）协议的MANET模糊集方法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Dr. C. Chandrasekar
中科院分区：
文献类型：
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作者：
S. Rekha;Dr. C. Chandrasekar
移动自组网(MANET)是一组动态组成网络的无线移动节点的集合。移动自组网(MANET)中的分组到达能力和广播是一种基本的数据分发机制，具有许多重要的应用，如路由发现、地址解析等。MANET中的广播传统上是基于洪泛的，其简单地用大量的重播消息淹没网络以到达所有网络节点。虽然概率泛洪已经是最早提出的广播方案之一，但到目前为止还没有任何尝试分析其在MANET环境中的性能行为。为了填补这一空白，本文使用广泛的NS-2仿真研究了典型MANET中一些重要的系统参数，包括节点速度、暂停时间和节点密度对概率洪泛性能的影响。结果表明，这些参数中的大多数对概率泛洪所达到的可达能力和所保存的重播消息的数量有重要影响。针对这些问题，提出了一种基于模糊粗糙集理论的最优路径管理方法&路径向量计算方法。本研究的最终目的是根据节点的分组到达能力、节点间的数目和网络中的流量负载来选择符合条件的路径。使用模糊集技术生成简单的规则，用于计算路径向量并删除不相关的属性(资源)，以评估最佳路由以减少洪泛。在NS-2仿真环境中，基于存储重播、分组可达性、节点速度、密度和暂停时间等指标，使用主动式协议FSR对规则集进行了评估。
Mobile Ad Hoc Network (MANET) is a collection of wireless mobile nodes that dynamically forms a network. Packet Reach ability and Broadcasting in Mobile Ad Hoc Networks (MANETs) is a fundamental data dissemination mechanism with a number of important applications, e.g., route discovery, address resolution. Broadcasting in MANETs has traditionally based on flooding, which simply swamps the network with large number of rebroadcast messages in order to reach all network nodes. Although probabilistic flooding has been one of the earliest suggested schemes to broadcasting, there has not been so far any attempt to analyze its performance behavior in a MANET environment. In an effort to fill this gap, this paper investigates using extensive NS-2 simulations the effects of a number of important system parameters in a typical MANET, including node speed, pause time, and node density on the performance of probabilistic flooding. The results reveal that most of these parameters have a critical impact on the reach ability and the number of saved rebroadcast messages achieved by probabilistic flooding. To overcome these problems an optimal path management approach called path vector calculation based on fuzzy and rough set theory were addressed. The ultimate intend of this study is to select the qualified path based on packet reach ability of the node, number of internodes and traffic load in the network. Simple rules were generated using fuzzy set techniques for calculating path vector and to remove irrelevant attributes (resources) for evaluating the best routing to reduce flooding. The set of rules were evaluated with proactive protocols namely FSR in the NS-2 simulation environment based on metrics such as Saved rebroadcast, Packet Reachablity, Node speed, Density and Pause-time.