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Spatial Correlation Based Low Energy Aware Clustering (LEACH) in a Wireless Sensor Networks

机译:无线传感器网络中基于空间相关性的低能耗感知群集(LEACH)

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In this paper, an enhanced Low Energy Aware Cluster Head (LEACH) protocol is proposed. It applies aggregation strategies in the area monitored by sensor nodes to reduce the number of reports sent to sink and to save energy. The basic idea is to weight the information sensed by sensors based on the distortion area in order to estimate better the event at the sink node. This approach seeks to exploit the spatial correlation among nodes and among clusters to assign different importance to the information aggregated and forwarded by the cluster head nodes. A multi-zone monitoring related to clusters is proposed, and a dynamic weights management is presented to consider distortion at cluster level introduced in the event estimation. A mathematical formulation of the problem and the proposal to weight space and data information is led out. Simulation campaigns in Matlab show the effectiveness of the event estimation in terms of event estimation distortion and network lifetime.
机译:本文提出了一种增强的低能耗感知簇头协议(LEACH)。它在传感器节点监视的区域中应用聚合策略,以减少发送到接收器的报告数量并节省能源。基本思想是基于失真区域对传感器感测到的信息进行加权,以便更好地估计接收节点处的事件。该方法试图利用节点之间和群集之间的空间相关性,为群集头节点聚集和转发的信息分配不同的重要性。提出了与聚类相关的多区域监控,并提出了一种动态权重管理来考虑事件估计中引入的聚类级别的失真。提出了问题的数学表述以及权衡空间和数据信息的建议。 Matlab中的仿真活动显示了事件估计在事件估计失真和网络寿命方面的有效性。

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