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

机译:一种新的基于簇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,高可伸缩性,容错性,低成本和快速部署等特性使无线传感器网络(WSN)在许多军事和民用应用中很有用。传感器节点能量的局限性使得节能是WSN中的关键问题。本文提出了一种新的基于簇的无线传感器网络数据融合算法。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,然后,每个非簇头节点根据簇头发送的广告的信号强度来选择其簇头。最后,每个簇头将从其成员节点接收到的数据融合在一起,并将融合后的数据发送到基站。该算法有助于均匀的簇头分布和合理的簇群形成,从而在无线传感器网络的能量效率和寿命上都取得了更好的性能。

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