Wade, A. A., Hurley, Stephen, Allen, Stuart M. ![]() |
Official URL: http://www.actapress.com/Abstract.aspx?paperId=174...
Abstract
This paper presents a detailed account of a novel scheme for finding profit optimal BFWA networks, extending an existing network optimisation tool, and using the principles of emergent, self-organising systems. We describe how populations of agents representing potential users and base sites will disseminate and react to `local' information to optimise global objectives. The use of two distinct types of agent entity allows the multi-objective profit/coverage nature of the optimisation to be satisfied. Preliminary results are presented to indicate the potential of the scheme.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Date Type: | Completion |
Status: | Unpublished |
Schools: | Physics and Astronomy |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | BFWA, Wireless Network Optimisation, AutomaticPlanning Tool, Meta-Heuristic Optimisation, EmergentIntelligence Systems |
Publisher: | Acta Press |
ISBN: | 0889864454 |
Last Modified: | 24 Oct 2022 10:12 |
URI: | https://orca.cardiff.ac.uk/id/eprint/43412 |
Citation Data
Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |