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A Novel Cluster-based Data Fusion Algorithm for Wireless Sensor Networks

机译:基于基于组的无线传感器网络数据融合算法

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The characteristics such as high reliability, high scalability, fault tolerance, low cost and rapid deployment make wireless sensor networks (WSN) useful in many military and civilian applications. The limitation of sensor nodes energy necessitates that energy saving is a key issue in WSN. This paper proposes a novel cluster-based data fusion algorithm for WSN. It divides network into grids, and selects one cluster-head from each grid by considering residual energy of nodes, afterward, each non-cluster-head node selects its cluster-head basing on the signal strength of advertisements sent by cluster-heads to form clusters, finally, every cluster-head fuses the data received from its member nodes and transmits the fused data to base station. This algorithm conduces to uniform cluster-heads distribution and rational cluster formation, consequently, achieves better performance on both energy efficiency and lifetime of WSN.
机译:高可靠性,高可扩展性,容错,低成本和快速部署等特性使无线传感器网络(WSN)在许多军用和民用应用中有用。传感器节点能量的限制需要节能是WSN中的关键问题。本文提出了一种用于WSN的新型基于群集的数据融合算法。它将网络划分为网格,并通过考虑节点的剩余能量,从每个网格中选择一个簇头,之后,每个非簇头节点选择其集群头基于群集头发送的广告的信号强度最后,每个簇头都融合从其成员节点接收的数据并将融合数据发送到基站。该算法涉及统一的簇头分布和合理的簇形成,因此,在WSN的能量效率和寿命上实现了更好的性能。

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