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ATAL
2004
Springer

Analyzing Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)

9 years 4 months ago
Analyzing Stigmergic Learning for Self-Organizing Mobile Ad-Hoc Networks (MANET's)
Abstract. In recent years, mobile ad-hoc networks (MANET’s) have been deployed in various scenarios, but their scalability is severely restricted by the human operators’ ability to configure and manage the network in the face of rapid change of the network structure and demand patterns. In this paper, we present a self-organizing approach to MANET management based on stigmergic agents and demonstrate how to analyze its performance under different deployment assumptions. Our results emphasize the importance of attention to notions from dynamical systems theory in designing and deploying multi-agent systems.
H. Van Dyke Parunak, Sven Brueckner
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where ATAL
Authors H. Van Dyke Parunak, Sven Brueckner
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