The aim of this project is to develop Boolean information networks with decision-making nodes that can be optimised to locally reduce data traffic. Based on their own information and that obtained from their neighbours, nodes in these networks seek a local optimal balance between volume, accuracy and direction of flow of data traffic. The research has applications in distributed computing and the internet.

Project staff and support

Natasha Savage (Postgraduate Faraday Associate, University of Manchester)
Jerry Huke (Academic supervisor, University of Manchester)
Keith Briggs (Industrial supervisor, BT)
Melvin Brown (Technology Translator, Smith Institute)

This project was carried out at the University of Manchester, in conjunction with BT. It is supported by an EPSRC CASE award. Start date: October 2000. Status: Natasha Savage submitted her Ph.D thesis in September 2005; the thesis abstract and full text may be found by following the further reading link below.