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A strategy to reduce flooding in grid Fisheye State routing (GFSR) protocol with weighted rough set model using MANET

机译:使用MANET的加权粗糙集模型减少网格鱼眼状态路由(GFSR)协议中泛洪的策略

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摘要

A mobile ad hoc networks consist of wireless hosts that may move often.Movement of host results to changes in path.The well-known Fisheye State Routing (FSR) protocol determines a route when no route exists or route breaks.To establish new path from source to destination, it broadcast control packets (route request packets), which increases the network bandwidth consumption and to reduce flooding.As mobile ad hoc networks have limited bandwidth, it is important to reduce the flooding.This paper provides a protocol which uses the weighted rough set model to control the route request packets in the existing FSR protocol in GRID.Weighted rough set theory is a mathematical tool to deal with vagueness, uncertainty and it also considers the importance of the objects (nodes).
机译:移动自组织网络由可能经常移动的无线主机组成,主机的移动随路径变化而变化,众所周知的鱼眼状态路由(FSR)协议在没有路由存在或路由中断的情况下确定路由。从源到目的地,它广播控制数据包(路由请求数据包),这增加了网络带宽消耗并减少了泛洪。由于移动自组织网络的带宽有限,因此减少泛洪非常重要。加权粗糙集模型可以控制GRID现有FSR协议中的路由请求数据包。加权粗糙集理论是一种处理模糊性,不确定性的数学工具,它还考虑了对象(节点)的重要性。

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