Improving Energy Efficiency in a Wireless Sensor Network by Combining Cooperative MIMO With Data Aggregation
Improving Energy Efficiency in a Wireless Sensor Network by Combining Cooperative MIMO With Data Aggregation
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DOI：
10.1109/tvt.2010.2063719
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发表时间：
2010-10-01
影响因子：
6.8
通讯作者：
Peng, Xiao-Hong
中科院分区：
文献类型：
--
作者：
Gao, Qiang;Zuo, Yi;Peng, Xiao-Hong
在节点由电池供电的无线传感器网络中，通过最小化每个节点的能量消耗来延长网络寿命是至关重要的。本文将协作多输入多输出(MIMO)技术和数据聚合技术相结合，通过协作通信减少传输数据量，更好地利用网络资源，从而降低无线传感器网络的每比特能耗。为此，我们提出了一种新的能量模型，该模型考虑了节点产生的数据之间的相关性以及节点之间的距离。利用该模型可以分析簇大小对节点平均能耗的影响。仿真结果表明，与无数据聚合的协作MIMO系统和无协作MIMO的数据聚合系统相比，如果传感器节点进行适当的分簇，采用数据聚合的协作MIMO系统可以显著提高网络的能量效率。提出并评价了集中式和分布式两种数据汇聚方案，用于协作节点之间的数据交换和压缩，从而导致数据相关性对集成协作MIMO和数据汇聚系统的能量性能的不同影响。
In wireless sensor networks where nodes are powered by batteries, it is critical to prolong the network lifetime by minimizing the energy consumption of each node. In this paper, the cooperative multiple-input-multiple-output (MIMO) and data-aggregation techniques are jointly adopted to reduce the energy consumption per bit in wireless sensor networks by reducing the amount of data for transmission and better using network resources through cooperative communication. For this purpose, we derive a new energy model that considers the correlation between data generated by nodes and the distance between them for a cluster-based sensor network by employing the combined techniques. Using this model, the effect of the cluster size on the average energy consumption per node can be analyzed. It is shown that the energy efficiency of the network can significantly be enhanced in cooperative MIMO systems with data aggregation, compared with either cooperative MIMO systems without data aggregation or data-aggregation systems without cooperative MIMO, if sensor nodes are properly clusterized. Both centralized and distributed data-aggregation schemes for the cooperating nodes to exchange and compress their data are also proposed and appraised, which lead to diverse impacts of data correlation on the energy performance of the integrated cooperative MIMO and data-aggregation systems.