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- W2159731570 abstract "Source routing of packets in the Internet requires that a path be selected in advance and stored at the source nodes. Path selection is typically based on Quality of Service (QoS) criteria like packet delay, delay jitter, and loss. A new protocol called the Cognitive Packet Network (CPN) [18, 19, 20, 21] has been proposed which is capable of dynamically choosing paths through a store and forward packet switching network like the Internet so as to provide best effort QoS to peer-to-peer connections. A CPN-enabled network uses smart packets to discover routes based on QoS requirements; acknowledgement (ACK) packets to deliver the routes back to source nodes; dumb packets to carry user-payload; and reinforcement learning to conduct path selection. We extended the path discovery process in CPN by introducing a genetic algorithm (GA) that can help discover new paths that may not have been discovered by smart packets [28]. In this paper, we further extend CPN with GA by prioritizing paths discovered based on their ages, adopting a progressive fitness evaluation system, and introducing a new genetic operator - mutation. The simulation topology has also been upgraded from a 10 by 10 grid to an arbitrarily connected network. We detail the design of the algorithms and their implementations, and finally report on resulting QoS measurements." @default.
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- W2159731570 date "2006-02-15" @default.
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- W2159731570 title "Source routing in the internet with reinforcement learning and genetic algorithms" @default.
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