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Proceedings ArticleDOI

Autonomous routing scheme for large scale network based on neural processing

I. Iida, +2 more
- pp 194-199
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TLDR
An autonomous routing scheme for large-scale networks that uses the principle of neural networks, where each node computes the optimal route whenever it tries to transmit a packet, so a reliable nonstop network can be easily constructed using this scheme.
Abstract
The authors discuss an autonomous routing scheme (called Holonic Routing) for large-scale networks that uses the principle of neural networks. In this scheme each node computes the optimal route whenever it tries to transmit a packet; thus the network can always maintain a balanced load, providing maximum transmission capacity in response to changes in traffic and topology. Because the routing procedure is packet by packet, even if a failure occurs in transit the packet will automatically be routed to avoid failed parts. Thus, a reliable nonstop network can be easily constructed using this scheme. The scheme is especially suitable for multimedia networks where large capacity and high reliability are needed. >

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Citations
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Method and system for routing packets in a packet communication network

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Routing system using a neural network

TL;DR: In this paper, a routing system in a multimedia integrated network formed of nodes connected by links is provided for transmitting various media such as voice, image and data in a packet format, where the respective nodes forming the integrated network output the packets in an optimum output direction so that conditions required by various media and reliability of communication are satisfied.
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TL;DR: A parallel decentralized Network Routing method that comprises an interconnection of groups of an intraconnected network, which is fully connected, and resides at each node of the communication network has the ability to achieve a sub-optimum routing solution in a real-time application.
References
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