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Data gathering cluster-based approach for in-network aggregation

机译:基于数据收集群集的网络内聚合方法

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The large and wide usage of automation of communication systems evolved into the large scale, dense wireless sensor network utilization, for simple modernization of networks. Since the density of nodes is large, it is obvious that there are high possibilities of data redundancy between neighboring nodes. This may further deploy energy and our concern to increase energy conservation. To conserve energy, datas are fused at source nodes and aggregated at branch nodes. We concentrate at reducing energy by data fusion and data aggregation at intermediate nodes, thereby reducing the cost and energy consumption. We suggest a Routing methodology for In-Network Aggregation, which has some vital aspects such as reduced number of messages for setting up a routing tree, multiple routes, and high aggregation rate. The results indicate clearly that the performance studied in terms of Packet Data Rate, Scalability and Throughput. The results would show good performance index in different aspects required by WSNs.
机译:通信系统自动化的广泛使用已演变为大规模,密集的无线传感器网络利用,以简化网络的现代化。由于节点的密度很大,因此很明显相邻节点之间存在数据冗余的可能性很高。这可能会进一步部署能源,而我们担心会增加节能。为了节省能源,数据在源节点处融合,并在分支节点处聚合。我们致力于通过中间节点的数据融合和数据聚合来减少能源,从而降低成本和能耗。我们建议一种用于网络内聚合的路由方法,该方法具有一些重要方面,例如减少了用于设置路由树的消息数量,多条路由和高聚合速率。结果清楚地表明,在分组数据速率,可伸缩性和吞吐量方面研究了性能。结果将显示WSN所需的各个方面的良好性能指标。

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