Cognitive MANET Design for Mission-Critical Networks.

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Bibliographic Details
Title: Cognitive MANET Design for Mission-Critical Networks.
Authors: Younis, Ossama, Kant, Latha, Chang, Kirk, Young, Kenneth, Graff, Charles
Source: IEEE Communications Magazine. Oct2009, Vol. 47 Issue 10, p64-71. 8p.
Subjects: Ad hoc computer networks, Netcentric computing, User-centered system design, Computer networks, Automation, Computer network architectures
Abstract: For mobile ad hoc networks used in networkcentric operations, there is a growing need for a systematic methodology for analyzing/predicting the performance of the network over the mission duration. With the advance in cognitive networking as a possible means of exploiting unused spectrum, there is now a growing need to study how to design a cognitive network using an automated methodology. In this article we study the concepts and challenges for automatic design! reconfiguration of cognitive MANETs. We describe the design objectives, imposed constraints, and involved parameters in MANETs. We describe how cognitive techniques can be employed to exploit the unused spectrum in military architectures. We then discuss the challenges facing the design/reconfiguration of a cognitive network and their implications at different network layers. We also describe possible implementation options for designing MANETs that employ cognitive features at all layers. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Communications Magazine is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Ad+hoc+computer+networks%22">Ad hoc computer networks</searchLink><br /><searchLink fieldCode="DE" term="%22Netcentric+computing%22">Netcentric computing</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+networks%22">Computer networks</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+architectures%22">Computer network architectures</searchLink>
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  Data: For mobile ad hoc networks used in networkcentric operations, there is a growing need for a systematic methodology for analyzing/predicting the performance of the network over the mission duration. With the advance in cognitive networking as a possible means of exploiting unused spectrum, there is now a growing need to study how to design a cognitive network using an automated methodology. In this article we study the concepts and challenges for automatic design! reconfiguration of cognitive MANETs. We describe the design objectives, imposed constraints, and involved parameters in MANETs. We describe how cognitive techniques can be employed to exploit the unused spectrum in military architectures. We then discuss the challenges facing the design/reconfiguration of a cognitive network and their implications at different network layers. We also describe possible implementation options for designing MANETs that employ cognitive features at all layers. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IEEE Communications Magazine is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/MCOM.2009.5273810
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              Text: Oct2009
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