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E~2STA: An Energy-Efficient Spatio-Temporal Query Algorithm for Wireless Sensor Networks

机译:E〜2STA:一种用于无线传感器网络的节能时空查询算法

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摘要

After wireless sensor networks are deployed, spatio-temporal query is frequently submitted by users to obtain all the sensor readings of an area of interest in a period of time. Most of existing spatio-temporal query processing algorithms organized all the nodes in the whole network or the nodes in the query area into a single routing tree guided by which the sensor readings of the nodes in the query area are sent back to the sink. This study attempts to answer the following two questions: first, is it feasible to processing spatio-temporal query by multiple routing trees? Second, for the single tree based algorithms and the multiple trees based algorithms, which one outperforms the other? We pointed out that the path along which the query results are sent back to the sink is fairly long when a single routing tree is adopted, which leads to a large amount of energy consumption. Organizing the nodes in the query area into multiple routing trees can avoid this problem. Based on the above findings, we designed a protocol of constructing multiple routing trees for the nodes in the query area, and proposed an energy-efficient spatio-temporal query processing algorithm called E~2STA. Theoretical and experimental results show that the proposed algorithm based on multiple routing trees outperforms the existing algorithms based on one single routing tree in terms of energy consumption.
机译:部署无线传感器网络后,用户经常会提交时空查询,以获取一段时间内感兴趣区域的所有传感器读数。大多数现有的时空查询处理算法将整个网络中的所有节点或查询区域中的节点组织到单个路由树中,通过该路由树,查询区域中节点的传感器读数被发送回接收器。这项研究试图回答以下两个问题:首先,通过多个路由树处理时空查询是否可行?其次,对于基于单树的算法和基于多树的算法,哪个优于另一个?我们指出,当采用单个路由树时,将查询结果发送回接收器的路径相当长,这会导致大量能源消耗。将查询区域中的节点组织成多个路由树可以避免此问题。基于上述发现,我们设计了一种为查询区域中的节点构造多个路由树的协议,并提出了一种节能的时空查询处理算法E〜2STA。理论和实验结果表明,所提出的基于多个路由树的算法在能耗方面优于基于单个路由树的现有算法。

著录项

  • 来源
  • 会议地点 Melbourne(AU)
  • 作者单位

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing Yudao Street 29, Mailbox 274, Nanjing 210016, China;

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing Yudao Street 29, Mailbox 274, Nanjing 210016, China;

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing Yudao Street 29, Mailbox 274, Nanjing 210016, China;

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing Yudao Street 29, Mailbox 274, Nanjing 210016, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wireless sensor networks; Query processing; Spatio-temporal query; Energy-efficiency;

    机译:无线传感器网络;查询处理;时空查询;能源效率;

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