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Replication in Mobile Ad-hoc Network using Hopfield Network

机译:使用Hopfield网络在移动自组织网络中进行复制

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Mobile Ad hoc Network (MANET) is a network comprises of mobile nodes connected without any centralized administration. Each node in the network has the ability to share a large number of objects with other nodes. The nodes are connected with other nodes to forward a message to other nodes until the search for node that desire meets. This paper represents a new replication method to recover the performance in distributed system. Objects are replicated on different nodes in the network to minimize the search for an object. It is observed that mobility of nodes predicted using SOM (Self Organizing Maps) technique provides less accuracy. This paper represents an algorithm that uses the network parameters as input condition to replicate objects into the nodes. The decision for each node will be taken by gathering the input conditions and feed to the Hopfield Neural Network. It is view that it will provide more accuracy and improve the performance.
机译:移动自组织网络(MANET)是由连接的移动节点组成的网络,无需任何集中管理。网络中的每个节点都可以与其他节点共享大量对象。这些节点与其他节点连接,以将消息转发到其他节点,直到满足对所需节点的搜索为止。本文提出了一种新的复制方法来恢复分布式系统的性能。将对象复制到网络中的不同节点上,以最大程度地减少对对象的搜索。可以看出,使用SOM(自组织映射)技术预测的节点的移动性降低了准确性。本文提出了一种算法,该算法使用网络参数作为输入条件,将对象复制到节点中。每个节点的决定将通过收集输入条件并馈入Hopfield神经网络来做出。人们认为它将提供更高的准确性并改善性能。

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