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    付 雄 王汝传 邓 松. 无线传感器网络中一种能量有效的数据存储方法[J]. 计算机研究与发展, 2009, 46(12): 2111-2116.
    引用本文: 付 雄 王汝传 邓 松. 无线传感器网络中一种能量有效的数据存储方法[J]. 计算机研究与发展, 2009, 46(12): 2111-2116.
    Fu Xiong, Wang Ruchuan, and Deng Song. An EnergyEfficient Data Storage Method in Wireless Sensor Network[J]. Journal of Computer Research and Development, 2009, 46(12): 2111-2116.
    Citation: Fu Xiong, Wang Ruchuan, and Deng Song. An EnergyEfficient Data Storage Method in Wireless Sensor Network[J]. Journal of Computer Research and Development, 2009, 46(12): 2111-2116.

    无线传感器网络中一种能量有效的数据存储方法

    An EnergyEfficient Data Storage Method in Wireless Sensor Network

    • 摘要: 如何有效地对传感器在过去历史时间段内采集的大量感知数据进行存储,以备将来的信息查询和数据分析已经成为无线传感器网络应用面临的一个难题.介绍了一种基于树型路由的分布式数据存储方法,通过采用动态规划方法选择存储节点,使存储节点能量均衡和所有节点能耗之和最小,从而达到整个无线传感器网络能量有效.仿真实验结果表明,这种数据存储方法能够获得较好的能量均衡和总能耗较小,从而有效地延长整个无线传感器网络的生命周期.

       

      Abstract: Now in the various applications of wireless sensor network, a large amount of sensing data is generated by all kinds of sensors over a long period of time. All collected data must be stored for the future information query and data analysis, so how to efficiently store the data has become one of the biggest challenges in the applications of wireless sensor network. In this paper a distributed data storage method is proposed for the wireless sensor network which has organized in a tree rooted at the sink node with the predefined communication routes from each sensor to the sink node. This method makes use of a dynamic programming based algorithm to select some storage nodes from all nodes in wireless sensor network to make storage node energy balanced and to minimize the total energy of all sensors at the same time. Therefore this data storage method tends to make all wireless sensor network energy efficient and prolong the lifetime of all wireless sensor network. In the experiments, the data storage method is compared with two kinds of data storage methods, which show that this data storage method can not only achieve better energy balance but also reduce total energy cost.

       

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