QoS aware Hierarchical Multi -hop Routing Protocols in MANETs

Narendar Reddy Mandhadi, L. Rajamani
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引用次数: 1

Abstract

Ad hoc wireless networks are multi -hop networks that are dynamic, and are formedby a group of nodes which are mobile in nature,on a shared wireless links.Mobile ad hoc network (MANET) is a collection of autonomous nodes that communicate with each other by forming a multi hop radio network. The analysis and design of routing protocols is a significant issue in ad- hoc wireless networks. Since the previously proposed routing algorithmshave not considered the multi-hop flow with an end-to-end scenario, and had shown to perform well in providing blond sharing of bandwidths among the sing le-hop wireless flow. Compared to host- based routing, Hierarchical Multi-hop routing significantly reduces the routing table sizes and the amount of routing related signalling traffic, at the expense of reducing path efficiency and generating some management traffic. This paper focuses on QoS aware Hierarchical Multi -hop routing schemes for mobile ad hoc networks. The best path from a source to a destination is calculated using the QoS information available with either group heads or with each member. S eparate clusters are created using the cluster creation algorithm. Depending on the QoS information available with each gateway node, packets are routed . Because of the hierarchical architecture, the performance is unaffected by the increase in the number of mobile nodes, at the same time the Packet Loss is reduced. The proposed dynamic clustering algorithm manages the handover dynamically and hence the efficiency is not degraded by node mobility.
基于QoS的多层多跳路由协议
自组织无线网络是动态的多跳网络,由一组在共享无线链路上具有移动性质的节点组成。移动自组织网络(MANET)是一组自治节点的集合,这些节点通过组成多跳无线网络相互通信。路由协议的分析与设计是自组织无线网络中的一个重要问题。由于以前提出的路由算法没有考虑端到端场景下的多跳流,并且在单跳无线流之间提供带宽共享方面表现良好。与基于主机的路由相比,分层多跳路由显著地减少了路由表的大小和与路由相关的信令流量,但代价是降低了路径效率并产生了一些管理流量。研究了面向移动自组网的QoS感知分层多跳路由方案。从源到目标的最佳路径是使用组头或每个成员可用的QoS信息来计算的。使用集群创建算法创建S个独立的集群。根据每个网关节点可用的QoS信息,路由数据包。由于采用分层结构,移动节点数量的增加不会影响性能,同时降低了丢包率。提出的动态聚类算法对切换进行动态管理,不受节点移动的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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