Download CogNet Quad Chart

yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Deep packet inspection wikipedia , lookup

Wake-on-LAN wikipedia , lookup

Net bias wikipedia , lookup

Distributed firewall wikipedia , lookup

Cracking of wireless networks wikipedia , lookup

Computer network wikipedia , lookup

Network tap wikipedia , lookup

Internet protocol suite wikipedia , lookup

Zero-configuration networking wikipedia , lookup

Piggybacking (Internet access) wikipedia , lookup

Airborne Networking wikipedia , lookup

Recursive InterNetwork Architecture (RINA) wikipedia , lookup

CogNet – Cognitive Networking
Rutgers University, University of Kansas, Carnegie Mellon University
The Global Control Plane and Architecture Internetworking
Innovative Ideas
Name & Service Discovery
Cross-Layer Aware Routing
Forwarding Incentives
Network Management Architecture
Future Internet
(mobile or fixed)
MAC Layer
Cognitive Radio Nodes
Autoconfiguration and Bootstrapping Protocols
• Cognitive and collaborative – applying the
experience gathered in one place by one
being to actions by another being elsewhere
• Scalable autoconfiguration and network
• Dynamic network layer supporting tailored
functionality – use IP, group messaging, rich
queries, etc. as appropriate
• Builds on and extends cognitive radios
Project Plans
• Developing experimental protocol stack
for cognitive networks
• Explore how having tailored network
layers – e.g., IP, range-based overlays,
multicast optimized overlays, etc. – may
impact end-to-end network architecture for
interoperating cognitive wireless subnets
and the future Internet
• Develop algorithms to use, position, and
discover gateways between the overlays
themselves, and beyond
• Develop algorithms for applications to decide
(e.g., GCP) which network layer to use
• Implement multiple new network layers
• Explore performance tradeoffs (e.g., more
overhead versus better utilization) in
simulation & real cognitive radio network
Joseph B. Evans ([email protected]), Benjamin J. Ewy ([email protected])