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Title: Topology independent fault tolerant protocols for local area networks
Author: Millar, Iain
ISNI:       0000 0001 3398 8869
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 1994
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This thesis will present a new topology independent network architecture for highly fault tolerant, mesh interconnected Local Area Networks(LAN). This architecture was developed within the IEEE 802 Local Computer Reference Model framework and a LAN utilising this architecture will act as a direct replacement for the Media Access Control (MAC) and Physical (PHY) layers of that reference model. The only current MAC protocol that provides a high level of fault tolerance and topological independence is the flooding protocol. The problems with this protocol are highlighted and as a result, a new protocol that combines redundant routing with learning automata techniques has been developed. The learning automata provide the protocol with the capability to detect and adapt to changes in the network connectivity while redundant routing is utilised to cope with the immediate effects of failures. Detailed analysis of the performance of the new learning automata protocol is given. The steady state or long term performance analysis has shown that this protocol offers considerable improvement when compared to the flooding protocol and the protocol's non-learning equivalent. The learning automata protocol is capable of combining the advantages of the other protocols whilst minimising their disadvantages. When considering the performance of the learning automata protocol under failure conditions, the advantages of its learning capability are clear. Even under high numbers of failures, the protocol is capable of adapting promptly to the resulting changes in network connectivity and is able to optimise the use of the remaining communications capacity.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Computer hardware