• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Annual Conference on Information Sciences and Systems >A New Scheme for Energy-efficient Estimation in a Sensor Network
【24h】

A New Scheme for Energy-efficient Estimation in a Sensor Network

机译：传感器网络中节能估计的新方案

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, energy efficient estimation of an unknown parameter in Gaussian noise is studied in a sensor networking context. A new approach is suggested to obtain a good approximation to the traditional maximum likelihood (ML) estimate, which can save energy by reducing the number of sensor transmissions. Specifically, we describe a new and simple transmission scheme in which the sensor transmissions are ordered according to the magnitude of their measurements, and the sensors with small magnitude measurements, smaller than a threshold, do not transmit. A bound on the error of approximation is derived, which can be utilized to dynamically determine the threshold such that a trade-off between the accuracy of the approximation and the energy savings can be maintained. Through the numerical results, we show that our approach can be very energy efficient with only a negligible estimation error introduced.
机译：在本文中，在传感器网络上下文中研究了高斯噪声中未知参数的节能估计。建议一种新的方法来获得对传统最大可能性（ML）估计的良好近似，这可以通过减少传感器传输的数量来节省能量。具体地，我们描述了一种新的和简单的传输方案，其中根据其测量的幅度排序传感器传输，并且具有小于阈值的小幅度测量的传感器，不发送。导出近似误差的绑定，其可以用于动态地确定阈值，使得可以保持近似和节能的准确性之间的折衷。通过数值结果，我们表明我们的方法可以非常节能，只引入了可忽略的估计错误。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号