基于传播邻域的网格鱼眼状态路由(GFSR)协议减少泛洪的新方法

S. Nithya, Rekha C Chandrasekar, R. Kaniezhil
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引用次数: 3

摘要

移动自组织网络(MANET)是移动节点的自组织集合。自组织无线网络由于其移动性支持而具有巨大的商业和军事潜力。由于网络拓扑结构的快速变化,移动Ad-Hoc网络中的服务质量(QoS)路由具有挑战性。本文利用ns-2网络模拟器,在不同的节点数和暂停时间性能指标场景下,重点研究降低网格中鱼眼状态路由(FSR)协议的泛流性能。连接的建立在时间和资源上都是昂贵的,而网络主要受到连接请求泛滥的影响。该方法提出了一种减少manet中洪水的方法。泛洪是由连接请求数据包从源到其邻近节点的传播决定的。所提出的建筑促进了共享邻里信息的概念。所建议的方法侧重于将其邻居对等体暴露给另一个节点,该节点被称为其朋友节点,该节点已请求/转发连接请求。如果朋友节点通过暴露的路由进行通信的概率很高,则可以通过减少泛洪来提高带宽利用率,因为路由已经获得,而无需任何广播。节点间的友谊基于经验计算和启发式算法进行量化。节点将邻居信息存储在缓存中,并定期进行一致性验证。仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new approach to reduce flooding in Grid Fisheye state routing (GFSR) protocol by propagation neighborhood
Mobile Ad-hoc Network (MANET) is the self organizing collection of mobile nodes. Ad hoc wireless networks have massive commercial and military potential because of their mobility support. Quality of Service (QoS) routing in mobile Ad-Hoc networks is challenging due to rapid change in network topology. In this paper, we focused to reduce flooding performance of the Fisheye State Routing (FSR) protocol in Grid using ns-2 network simulator under different performance metrics scenario in respect to number of Nodes and Pause-Time. The connection establishment is costly in terms of time and resource where the network is mostly affected by connection request flooding. The proposed approach presents a way to reduce flooding in MANETs. Flooding is dictated by the propagation of connection-request packets from the source to its neighborhood nodes. The proposed architecture promotes on the concept of sharing neighborhood information. The proposed approach focuses on exposing its neighborhood peer to another node that is referred to as its friend-node, which had requested/forwarded connection request. If there is a high probability for the friend node to communicate through the exposed routes, this could improve the efficacy of bandwidth utilization by reducing flooding, as the routes have been acquired, without any broadcasts. Friendship between nodes is quantized based on empirical computations and heuristic algorithms. The nodes store the neighborhood information in their cache that is periodically verified for consistency. Simulation results show the performance of this proposed method.
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