Multi-rate Kalman Fusion Estimation for WSNs

  • Wen-An Zhang
  • Bo Chen
  • Haiyu Song
  • Li Yu


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.


Packet Loss Local Estimate Estimation Performance Reduce Energy Consumption Packet Loss Probability 
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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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