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Multi-rate Kalman Fusion Estimation for WSNs

  • Wen-An Zhang
  • Bo Chen
  • Haiyu Song
  • Li Yu
Chapter
  • 575 Downloads

Abstract

It is known that the WSNs are usually severely constrained in energy, and energy-efficient methods are thus important for WSN-based estimation to reduce energy consumption and to prolong network life. Several energy-efficient estimation methods have been available in the literature, such as the quantization method [1–6] and the data-compression method [1, 7–10]. The main idea in quantization and compression is to reduce the size of a data packet and thus to reduce energy consumption in transmitting and receiving packets, and they can be called as the packet size-based energy-efficient estimation methods. Actually, a useful and straightforward approach to saving energy is to slow down the information transmission rate in the sensors, for example, the sensors may measure and transmit measurements with a period that is several times of the sampling period.

Keywords

Packet Loss Local Estimate Estimation Performance Reduce Energy Consumption Packet Loss Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Science Press, Beijing and Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Wen-An Zhang
    • 1
  • Bo Chen
    • 1
  • Haiyu Song
    • 2
  • Li Yu
    • 3
  1. 1.Department of AutomationZhejiang University of TechnologyHangzhouChina
  2. 2.Zhejiang Uni. of Finance & EconomicsHangzhouChina
  3. 3.Zhejiang University of TechnologyHangzhouChina

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