Distributed Algorithms for Stochastic Source Seeking with Mobile Robot Networks
Nikolay A. Atanasov, Jerome Le Ny, George Pappas

Citation
Nikolay A. Atanasov, Jerome Le Ny, George Pappas. "Distributed Algorithms for Stochastic Source Seeking with Mobile Robot Networks". ASME Journal of Dynamic Systems, Measurement, and Control (JDSMC), 2014; Submitted.

Abstract
Autonomous robot networks are an effective tool for monitoring large-scale environmental fields. This paper proposes distributed control strategies for localizing the source of a noisy signal, which could represent a physical quantity of interest such as magnetic force, heat, radio signal, or chemical concentration. We develop algorithms specific to two scenarios: one in which the sensors have a precise model of the signal formation process and one in which a signal model is not available. In the model-free scenario, a team of sensors is used to follow a stochastic gradient of the signal field. Our approach is distributed, robust to deformations in the group geometry, does not necessitate global localization, and is guaranteed to lead the sensors to a neighborhood of a local maximum of the field. In the model-based scenario, the sensors follow the stochastic gradient of the mutual information between their expected measurements and the location of the source in a distributed manner. The performance is demonstrated in simulation using a robot sensor network to localize the source of a wireless radio signal.

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  • HTML
    Nikolay A. Atanasov, Jerome Le Ny, George Pappas. <a
    href="http://www.terraswarm.org/pubs/264.html"
    >Distributed Algorithms for Stochastic Source Seeking
    with Mobile Robot Networks</a>, <i>ASME Journal
    of Dynamic Systems, Measurement, and Control
    (JDSMC)</i>,  2014; Submitted.
  • Plain text
    Nikolay A. Atanasov, Jerome Le Ny, George Pappas.
    "Distributed Algorithms for Stochastic Source Seeking
    with Mobile Robot Networks". <i>ASME Journal of
    Dynamic Systems, Measurement, and Control (JDSMC)</i>,
     2014; Submitted.
  • BibTeX
    @article{AtanasovLeNyPappas14_DistributedAlgorithmsForStochasticSourceSeekingWithMobile,
        author = {Nikolay A. Atanasov and Jerome Le Ny and George
                  Pappas},
        title = {Distributed Algorithms for Stochastic Source
                  Seeking with Mobile Robot Networks},
        journal = {ASME Journal of Dynamic Systems, Measurement, and
                  Control (JDSMC)},
        year = {2014},
        note = {Submitted},
        abstract = {Autonomous robot networks are an effective tool
                  for monitoring large-scale environmental fields.
                  This paper proposes distributed control strategies
                  for localizing the source of a noisy signal, which
                  could represent a physical quantity of interest
                  such as magnetic force, heat, radio signal, or
                  chemical concentration. We develop algorithms
                  specific to two scenarios: one in which the
                  sensors have a precise model of the signal
                  formation process and one in which a signal model
                  is not available. In the model-free scenario, a
                  team of sensors is used to follow a stochastic
                  gradient of the signal field. Our approach is
                  distributed, robust to deformations in the group
                  geometry, does not necessitate global
                  localization, and is guaranteed to lead the
                  sensors to a neighborhood of a local maximum of
                  the field. In the model-based scenario, the
                  sensors follow the stochastic gradient of the
                  mutual information between their expected
                  measurements and the location of the source in a
                  distributed manner. The performance is
                  demonstrated in simulation using a robot sensor
                  network to localize the source of a wireless radio
                  signal.},
        URL = {http://terraswarm.org/pubs/264.html}
    }
    

Posted by Nikolay A. Atanasov on 17 Feb 2014.

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