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dc.contributor.authorCosby, J. Alan
dc.contributor.authorShtessel, Yuri B.
dc.contributor.authorBordetsky, Alex
dc.dateJune 17-19, 2013
dc.date.accessioned2014-11-05T22:52:37Z
dc.date.available2014-11-05T22:52:37Z
dc.date.issued2013-06
dc.identifier.urihttp://hdl.handle.net/10945/43694
dc.description2013 American Control Conference (ACC), Washington, DC, USA, June 17-19, 2013en_US
dc.description.abstractPractical retention of mobile ad hoc network communications via connectability theory is presented and compared to predictive modeling techniques. Network communication disruptions is prevented by driving relay agents to computed waypoints using sliding mode and LQ control, or using predictive modeling to optimally control relay agents. The connectability matrix is used to determine where future node isolation will occur. This paper expands the connectability matrix concept into connectability theory to not only predict node isolation, but to directly compute the waypoints for relay agents. The existing methods of computing waypoints, of controlling robotic routers to form so called network bridges, and the outcome of predictive modeling are shown to be special cases of the proposed connectability theory. Also, case studies and simulations are presented to show this connectability theory’s utility in various network configurations.en_US
dc.publisherIEEEen_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.titleRetaining Connectivity in Multi-Task Communications Network with Multiple Agents: Connectability Theory Approachen_US
dc.typeArticleen_US
dc.contributor.departmentInformation Technology


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