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Improving Routing Discovery Based Velocity-Aware Probabilistic Using AODV with Link Prediction in Mobile Ad-hoc Networks

机译:在移动自组网中使用带有链路预测的AODV改进基于路由发现的速度感知概率

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The current process associated with enhancing the QoS in routing for MANETs has reserved a high importance due to the limitation of available route discovery in dynamic topology. The conventional methods of route discovery schemes in MANETs are commonly designed in order to estimate the number of nodes in routes using the standard probabilistic models. Such models are utilized by estimating the flood in a network using the RREQ packets. However, the current development in mobility, frequent breakages become more common which as a result lead to relocate the properties of same routes. As such, the network may experience additional demands for channel contention and high packets collision rate. For this, we proposed a new scheme for enhancing the routing discovery based velocity-aware probabilistic using AODV properties with link prediction in MANETs. The result of the new scheme was found to outperform the old one in which it offers better ROH, throughput and delay time. This study provides an important insight for predicting the routing failure in a network when using the velocity-aware probabilistic scheme alone.
机译:由于在动态拓扑中可用路由发现的局限性,与增强MANET路由中的QoS相关的当前过程非常重要。为了设计使用标准概率模型的路由中的节点数,通常设计了MANET中的路由发现方案的常规方法。通过使用RREQ数据包估算网络中的洪灾,可以利用此类模型。但是,在当前的机动性发展中,频繁的破损变得更加普遍,结果导致重新定位相同路线的属性。这样,网络可能会遇到对信道争用和高分组冲突率的额外需求。为此,我们提出了一种新的方案,该方案使用AODV属性和MANET中的链路预测来增强基于路由发现的速度感知概率。发现新方案的结果优于旧方案,在旧方案中它提供了更好的ROH,吞吐量和延迟时间。这项研究为单独使用速度感知概率方案预测网络中的路由故障提供了重要的见识。

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