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Energy-efficient querying of wireless sensor networks.

机译:无线传感器网络的节能查询。

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摘要

Due to the distributed nature of information collection in wireless sensor networks and the inherent limitations of the component devices, the ability to store, locate, and retrieve data and services with minimum energy expenditure is a critical network function. Additionally, effective search protocols must scale efficiently and consume a minimum of network energy and memory reserves.;This research also derives an enhanced analytical node model of random walk search protocols for networks with limited-lifetime resources and time-constrained queries. An optimization program is developed to minimize the expected total energy expenditure while simultaneously ensuring the proportion of failed queries does not exceed a specified threshold.;Finally, the ability of the analytical node model to predict the performance of random walk search protocols in large-population networks is established through extensive simulation experiments. It is shown that the model provides a reliable estimate of optimum search algorithm parameters.;A novel search protocol, the Trajectory-based Selective Broadcast Query protocol, is proposed. An analytical model of the protocol is derived, and an optimization model is formulated. Based on the results of analysis and simulation, the protocol is shown to reduce the expected total network energy expenditure by 45.5 percent to 75 percent compared to current methods.
机译:由于无线传感器网络中信息收集的分布式性质以及组件设备的固有局限性,因此以最小的能量消耗存储,定位和检索数据和服务的能力是一项至关重要的网络功能。此外,有效的搜索协议必须有效地扩展,并消耗最少的网络能量和内存储备。该研究还为寿命有限的资源和受时间限制的查询网络,推导了随机游动搜索协议的增强分析节点模型。开发了一个优化程序以最大程度地减少预期的总能源消耗,同时确保失败查询的比例不超过指定的阈值。最后,分析节点模型能够预测人口众多的随机游走搜索协议的性能网络是通过广泛的模拟实验建立的。证明了该模型为最优搜索算法参数提供了可靠的估计。提出了一种新颖的搜索协议,即基于轨迹的选择性广播查询协议。推导了协议的分析模型,并制定了优化模型。根据分析和仿真的结果,与当前方法相比,该协议可将预期的网络总能源消耗减少45.5%至75%。

著录项

  • 作者

    Mann, Christopher R.;

  • 作者单位

    Air Force Institute of Technology.;

  • 授予单位 Air Force Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 212 p.
  • 总页数 212
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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