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A Reliable Data Transmission in EAACK MANETs Using Hybrid Three-Tier Competent Fuzzy Cluster Algorithm

机译:使用混合三层竞争力模糊簇算法在EACK MANET中的可靠数据传输

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Ad hoc networks like MANETs can be made manageable by clustering the network where a cluster head is given the responsibility of an arbitrator. To make clustering more efficient, fuzzy clusters can be used to ensure faster cluster formation and reliable data delivery. A wireless sensor network such as MANETs can then have an extended lifetime with the workload being distributed evenly. This paper proposes a competent fuzzy approach in cluster formation. The proposed approach has two significant stages, one which helps in the formation of fuzzy clusters and the other introduces a 3-level filtering technique. The former makes MANETs efficient and manageable and the latter helps in identifying trusted nodes for communication. The modified Fuzzy C-means clustering technique is entrusted with the task of assigning membership to each and every data point linked to each singular cluster center used in the formation of clusters, while a special filter scheme is used to distinguish between the trusted nodes and the malicious nodes. This helps is determining the identity and authenticity of the cluster members'. Eventually only the trusted nodes will be part of the communication range. The filter based fuzzy clustering approach can be used to determine the perfect nodes, which will reflect in the network performance. This also helps in improving the packet transmission in ad hoc networks like MANETs.
机译:像枪声这样的ad hoc网络可以通过群集群集头部被赋予仲裁员的责任来管理。为了使聚类更高效,可以使用模糊群集来确保更快的集群形成和可靠的数据传送。然后,诸如枪声之类的无线传感器网络可以具有延长的寿命,其中工作负载均匀分布。本文提出了集群形成的主管模糊方法。该方法具有两个重要阶段,其中一个有助于形成模糊簇,另一个有助于形成3级过滤技术。前者使MANETS高效且可管理,后者有助于识别可信节点进行通信。修改的模糊C-means聚类技术委托了将成员身份分配给链接到集群中使用的每个奇异集群中心的每个数据点的任务,而特殊的过滤器方案用于区分可信节点和恶意节点。这有助于确定集群成员的身份和真实性。最终只有可信节点将是通信范围的一部分。基于滤波器的模糊聚类方法可用于确定将反映网络性能的完美节点。这也有助于提高船只这样的ad hoc网络中的数据包传输。

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