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Kalman Fusion Estimation for WSNs with Nonuniform Estimation Rates

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

Abstract

As mentioned in Chap.  2, developing energy-efficient algorithms for WSN-based estimation is of great practical significance since the sensor nodes are usually constrained in energy. As usually did in WSNs, one may purposively close the sensor nodes to save power during certain time interval and wake them up when necessary. That is to say, in many situations, it is not necessary for sensors to transmit measurements and generate estimates at every sampling instant from the energy-efficiency perspective, and the sensors may work and generate estimates with two rates, namely, a fast rate and a slow rate according to their power situations. Therefore, adopting a nonuniform estimation rate is a more preferable strategy for sensor network-based estimation system with energy constraints.

Keywords

Sensor Node Local Estimate Fusion Rule Fusion Algorithm Sampling Instant 
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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