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dc.contributor.authorChung, Timothy H.
dc.contributor.authorBasilico, Nicola
dc.contributor.authorCarpin, Stefano
dc.dateJanuary 2016
dc.date.accessioned2016-06-08T22:38:17Z
dc.date.available2016-06-08T22:38:17Z
dc.date.issued2016-01
dc.identifier.urihttp://hdl.handle.net/10945/48911
dc.description.abstractWe consider the problem of patrolling an assigned area using a team of heterogeneous robots consisting of sentinels and searchers in the presence of stochastic arrivals of attacks. Sentinels and searchers operate using a different sensor model featuring a tradeoff between accuracy and the sensed area. Using an approach based on queuing theory, we derive an accurate analytic characterization of the patrolling performance that can be used to predict the behavior of a given configuration or inform the composition of a team in order to meet a desired target performance. Extensive simulation results corroborate our theoretical findings.en_US
dc.format.extent14 p.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleDistributed online patrolling with multi-agent teams of sentinels and searchersen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US


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