CogMesh (Cognitive Mesh): A Bridge from Cognitive Radio towards Cognitive Cloud & Cognitive Networking
Why does Cognitive Wireless Mesh Networking (CogMesh) Make Sense?
Cognition, Cooperation (altruistic or non-altruistic) and Competition are the basis to break up the cellular concept and enrich it by multi-hop, peer-to-peer (end-to-end), grid and Cloud Networking functionalities;
A tendency to evolve the Cognitive Radio concept towards Cognitive Cloud (CogCloud) & Cognitive Networks;
Cognitive Mesh (CogMesh) may be a necessary step/bridge towards the ubiquitous Cognitive Networking paradigm.
As radio spectrum usage paradigm moving from the traditional command-and-control allocation scheme to the open spectrum allocation & access scheme, wireless networks meet new opportunities and challenges. Accordingly, we introduce the concept of cognitive wireless mesh networking (CogMesh) and address the unique problems in such a dynamically networking environment. Basically, CogMesh is a self-organized distributed network architecture combining cognitive wireless access technologies (e.g. Cognitive Radio) with the mesh (ad-hoc) structure in order to provide an integrated & converged service platform over a wide range of heterogeneous networks. CogMesh is based on opportunistic spectrum access (OSA) and featured by self-organization, self-configuration, self-protecting and self-healing. Within the CogMesh framework, in order to achieve the OSA goal, we develope the "Cloud" based common control channel (CCC) selection scheme and the "Cluster" based networking formation techniques, which can be further extended to consensus based multiple rendezvous approach for "Cloud" and "Cluster" evolution in a dynamic manner (Ref., [1], [2], [5], [9], [11], [13]). Moreover, we also show that advanced learning algorithms (e.g., Swarm Intelligence) is a good candidate to deal with the control channel problem in CogMesh (Ref., [8], [10], [12]).
(Note that "Cognitive Cloud" mentioned above is different from "Cloud Cognition" in http://jbordeaux.com/harnessing-the-cognitive-cloud/ and http://fluid.media.mit.edu/projects.php.)
Reference:
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