Network Routing Based on Reinforcement Learning in Dynamically Changing Networks
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Utilization and fairness in spectrum assignment for opportunistic spectrum access
Mobile Networks and Applications
Diffuse: A topology building engine for wireless sensor networks
Signal Processing
A survey on spectrum management in cognitive radio networks
IEEE Communications Magazine
Network science based approaches to design and analyze MANETs for military applications
IEEE Communications Magazine
Cognitive tactical network models
IEEE Communications Magazine
Journal of Network and Computer Applications
A survey of adaptive services to cope with dynamics in wireless self-organizing networks
ACM Computing Surveys (CSUR)
Reliability analysis of a channel restoration mechanism for opportunistic spectrum access
Computer Communications
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For mobile ad hoc networks used in network-centric 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.