A Packet Processor For A Learning-Based Routing Protocol

As the Internet expands significantly in number of users, servers, routers and other networking products, the IP based network architecture must evolve and change. There are already proposed alternative packet-switched network models that would eliminate some of the problems of IP based networks. Recently proposed Cognitive Packet Networks (CPN) is one of them and it shows similarity with the discrete active networks. CPN uses a neural network model with a reinforcement learning algorithm to find routes. In this paper, we present a packet processor architecture which supports this fast adaptive routing algorithm. Copyright 2005 ACM

A packet processor for a learning based routing protocol

As the Internet expands significantly in number of users, servers, routers and other networking products, the IP based network architecture must evolve and change. There are already proposed alternative packet-switched network models that would eliminate some of the problems of IP based networks. Recently proposed Cognitive Packet Networks (CPN) is one of them and it shows similarity with the discrete active networks. CPN uses a neural network model with a reinforcement learning algorithm to find routes. In this paper, we present a packet processor architecture which supports this fast adaptive routing algorithm. Copyright 2005 ACM