Abstract
A joint university / industry collaboration is investigating the deployment of MAS technology to manage wireless communications networks. These systems are very large and are situated in a chaotic environment which suggests the use of distributed intelligent control that aims to continually improve, whilst not expecting to optimise, network performance. A key problem is ensuring the stability of these large, distributed control systems. A sequence of management systems have been developed over four years from which we have abstracted our 'two-hop principle'. We conjecture that the principle has wider application to multiagent network management systems. The generic principle is described and experiments are reported to illustrate the stability observed.
| Original language | English |
|---|---|
| Pages (from-to) | 281-292 |
| Number of pages | 12 |
| Journal | Lecture Notes in Computer Science |
| Volume | 8062 |
| DOIs | |
| Publication status | Published - 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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