Team for Research in
Ubiquitous Secure Technology

Citation
Bonnie Zhu, Bruno Sinopoli, Kameshwar Poola, Shankar Sastry. "Estimation in Wireless Sensor Network". Proceedings of the 26th American Control Conference, July, 2007.

Abstract
The widespread availability of inexpensive large scale dense wireless sensor networks is rapidly enabling many novel applications. Remote estimation problems are critical to many of these applications. Here, individual sensors simultaneously sense an process and transmit measured information to a central base station over a lossy wireless network. The base station processes available sensor data and produces an optimal estimate of the state. In this paper, we investigate the tradeoff between the estimation performance and the number of communicating nodes based with respect to major MAC protocols used in wireless sensor networks. We first construct a Markov model of node behavior to study the correlation between packet reception probability and the number of communicating nodes.We then develop a multi-sensor measurement fusion model. We combine these ingredients with a lossy multisensor Kalman filtering algorithm to assess the impact of MAC protocols on estimation performance. We offer a simple target tracking example to illustrate our ideas.

Electronic downloads

• HTML

  Bonnie Zhu, Bruno Sinopoli, Kameshwar Poola, Shankar Sastry.
  <a href="http://www.truststc.org/pubs/242.html"
  >Estimation in Wireless Sensor Network</a>,
  Proceedings of the 26th  American Control Conference, July,
  2007.

• Plain text

  Bonnie Zhu, Bruno Sinopoli, Kameshwar Poola, Shankar Sastry.
  "Estimation in Wireless Sensor Network".
  Proceedings of the 26th  American Control Conference, July,
  2007.

• BibTeX

  @inproceedings{ZhuSinopoliPoolaSastry07_EstimationInWirelessSensorNetwork,
      author = {Bonnie Zhu and Bruno Sinopoli and Kameshwar Poola
                and Shankar Sastry},
      title = {Estimation in Wireless Sensor Network},
      booktitle = {Proceedings of the 26th  American Control
                Conference},
      month = {July},
      year = {2007},
      abstract = {The widespread availability of inexpensive large
                scale dense wireless sensor networks is rapidly
                enabling many novel applications. Remote
                estimation problems are critical to many of these
                applications. Here, individual sensors
                simultaneously sense an process and transmit
                measured information to a central base station
                over a lossy wireless network. The base station
                processes available sensor data and produces an
                optimal estimate of the state. In this paper, we
                investigate the tradeoff between the estimation
                performance and the number of communicating nodes
                based with respect to major MAC protocols used in
                wireless sensor networks. We first construct a
                Markov model of node behavior to study the
                correlation between packet reception probability
                and the number of communicating nodes.We then
                develop a multi-sensor measurement fusion model.
                We combine these ingredients with a lossy
                multisensor Kalman filtering algorithm to assess
                the impact of MAC protocols on estimation
                performance. We offer a simple target tracking
                example to illustrate our ideas.},
      URL = {http://www.truststc.org/pubs/242.html}
  }
  

Posted by Bonnie Zhu on 24 Mar 2007.
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