Computer Network Routing with a Fuzzy Neural Network

Abstract

The growing usage of computer networks is requiring improvements in network technologies and management techniques so users will receive high quality service. As more individuals transmit data through a computer network, the quality of service received by the users begins to degrade. A major aspect of computer networks that is vital to quality of service is data routing. A more effective method for routing data through a computer network can assist with the new problems being encountered with today's growing networks. Effective routing algorithms use various techniques to determine the most appropriate route for transmitting data. Determining the best route through a wide area network (WAN), requires the routing algorithm to obtain information concerning all of the nodes, links, and devices present on the network. The most relevant routing information involves various measures that are often obtained in an imprecise or inaccurate manner, thus suggesting that fuzzy reasoning is a natural method to employ in an improved routing scheme. The neural network is deemed as a suitable accompaniment because it maintains the ability to learn in dynamic situations. Once the neural network is initially designed, any alterations in the computer routing environment can easily be learned by this adaptive artificial intelligence method. The capability to learn and adapt is essential in today's rapidly growing and changing computer networks. These techniques, fuzzy reasoning and neural networks, when combined together provide a very effective routing algorithm for computer networks. Computer simulation is employed to prove the new fuzzy routing algorithm outperforms the Shortest Path First (SPF) algorithm in most computer network situations. The benefits increase as the computer network migrates from a stable network to a more variable one. The advantages of applying this fuzzy routing algorithm are apparent when considering the dynamic nature of modern computer networks. iii Dedication This dissertation is dedicated to my parents, Charles and Norma Brande. Their unconditional love and support has helped me achieve my goals and I offer them my heartfelt gratitude. iv Acknowledgements I express my sincere thanks to Professor Terry Rakes, my dissertation chairman. I am extremely fortunate to have had the opportunity to work with him and value this collaboration greatly. Thank you for all your work, enthusiasm, and commitment to this research and to me. I could not have achieved this goal without you. The guidance and support of my committee members are also deeply appreciated. have all been excellent mentors. …

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Cite this paper

@inproceedings{Brande1997ComputerNR, title={Computer Network Routing with a Fuzzy Neural Network}, author={Julia K. Brande and Terry R. Rakes and Edward R. Clayton and Laurence J. Moore and Loren Paul Rees and Robert T. Sumichrast}, year={1997} }