Distributed on-line Bayesian search

Alfredo Garcia; Enrique Campos; Chenyang Li

Workshop on Stochasticity in Distributed Systems

Research Article

Distributed on-line Bayesian search

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/COLCOM.2005.1651263,
    author={Alfredo Garcia and Enrique Campos and Chenyang Li},
    title={Distributed on-line Bayesian search},
    proceedings={Workshop on Stochasticity in Distributed Systems},
    publisher={IEEE},
    proceedings_a={STODIS},
    year={2006},
    month={7},
    keywords={Actuators  Bayesian methods  Convergence  Probes  Sampling methods  Scalability  Statistical distributions  System performance  Target tracking  Vehicles},
    doi={10.1109/COLCOM.2005.1651263}
}

Alfredo Garcia
Enrique Campos
Chenyang Li
Year: 2006
Distributed on-line Bayesian search
STODIS
ICST
DOI: 10.1109/COLCOM.2005.1651263

Alfredo Garcia¹^,*, Enrique Campos²^,*, Chenyang Li¹

1: University of Virginia
2: George Washington University

*Contact email: agarcia@virginia.edu, ecamposn@gwu.edu

Abstract

In this paper, we outline the basis for a new distributed Bayesian search scheme in which all Bayesian decision makers recognize the same performance objective but do not possess the ability to communicate with each other. Coordination among the players is achieved indirectly by tracking search performance. This scheme is ideal for unmanned vehicles searching in extreme environments where extensive bilateral communication between actuators is not feasible. Preliminary results suggest our new search scheme is scalable and can easily be adapted for tracking moving targets.

Keywords: Actuators Bayesian methods Convergence Probes Sampling methods Scalability Statistical distributions System performance Target tracking Vehicles

Published: 2006-07-24
Publisher: IEEE

: http://dx.doi.org/10.1109/COLCOM.2005.1651263