Cognitive networks

By Ryan W. Thomas, Luiz A. DaSilva, Allen B. Mackenzie. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005., 2005

607 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/35514e0e11ccdcc6ee53248c6d02c0678d9380a1

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In Artificial Intelligence

In Computer Networks and Communications

Citations in the corpus

A Survey on Trust Management for Mobile Ad Hoc Networks (2011, methodology): “The proposed design maintains a reputation and trust rating system about individual nodes by designing a modified Bayesian approach.”
Game Theory for Wireless Engineers (2006, background): “We envision this concept to eventually extend to cognitive networks, where each node individually adapts based on network-wide considerations to yield better overall performance to the network as a whole [56].”
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, background): “5 [27] [46] [58], which is referred to as the cognitive cycle.”
CRAHNs: Cognitive radio ad hoc networks (2009, unknown): “From this definition, two main characteristics of the cognitive radio can be defined as follows [32] [82]: Cognitive capability: Cognitive capability refers to the ability of the radio technology to capture or sense the information from its radio environment.”
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017, background): “It is anticipated that AI and ML will also make a similar impact on the networking ecosystem and will help realize a future vision of cognitive networks [1], [2], in which networks will self-organize and will autonomously implement intelligent network-wide behavior to solve problems such as routing,”