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Distributed Estimation in Periodically Switching Sensor Networks

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  • Jie Niu
  • Ya Zhang

Abstract

This paper studies the distributed estimation problem of sensor networks, in which each node is periodically sensing and broadcasting in order. A consensus estimation algorithm is applied, and a weight design approach is proposed. The weights are designed based on an adjusting parameter and the nodes’ lengths of their shortest paths to the target node. By introducing a - partite graph of the time-varying networks over a time period and studying the relationships between the product of the time-sequence estimation error system matrices and the sequences of edges in the - partite graph, a sufficient condition in terms of the observer gain and the adjusting parameter for the stability of the estimation error system is proposed. A simulation example is given to illustrate the results.

Suggested Citation

  • Jie Niu & Ya Zhang, 2018. "Distributed Estimation in Periodically Switching Sensor Networks," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:7063724
    DOI: 10.1155/2018/7063724
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