Improvement of QoS Parameters using FAN Shaped Clustering Method

M. Patil, M. Chawhan
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Abstract

Clustering in MANET provides greater efficiency in terms of energy and mobility of the node. It has better stability and scalability of the nodes in the network, as energy and mobility of node is the key parameter for the nodes in the network. Cluster Head (CH) selection and Cluster maintenance are the two perspectives for clustering in MANET. CH is the vital node in the network to collect the data from the member nodes. CH requires more energy when compared to other nodes in the cluster. It calculates the distance of the nodes and energy of the node in the cluster by the ration of energy and distance based on sector design. If energy of the cluster head is less than threshold value, the reclustering occurs and again a CH is elected. There are different geometries of the clustering, and Fan shaped clustering approach is proposed in this paper. This clustering scheme result is expected in terms of Quality of Service (QOS) parameters. QOS parameters have been evaluated with fan shaped clustering and without fan shaped clustering. QOS parameters such as throughput, packet delivery ratio, path loss etc. are validated on the NS2 Simulation Platform. It extends the network life in terms of energy throughput, delay and Packet Delivery Ratio.
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基于FAN聚类方法的QoS参数改进
MANET中的聚类在节点的能量和移动性方面提供了更高的效率。由于节点的能量和移动性是网络中节点的关键参数,因此具有更好的网络中节点的稳定性和可扩展性。簇头(CH)选择和簇维护是MANET中集群的两个方面。CH是网络中收集成员节点数据的关键节点。与集群中的其他节点相比,CH需要更多的能量。在扇区设计的基础上,通过能量与距离的比值来计算集群中节点的距离和节点的能量。如果簇头能量小于阈值,则重新聚类,并再次选举CH。聚类有不同的几何形状,本文提出了扇形聚类方法。这种聚类方案的结果在服务质量(QOS)参数方面是预期的。采用扇形聚类和不采用扇形聚类对QOS参数进行了评估。在NS2仿真平台上对吞吐量、分组传送率、路径损耗等QOS参数进行了验证。它在能量吞吐量、延迟和包投递率方面延长了网络寿命。
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