Phase Transitions in Self-Organising Sensor Networks

In this paper we consider a multi-cellular sensing and communication network, embedded in an ageless aerospace vehicle, that is expected to detect and react to impact location, intensity and damage over a wide range of impact energies. In particular, we investigate self-organisation of impact boundaries enclosing critically damaged areas, and measure their spatiotemporal robustness. The presented quantitative information-theoretic techniques clearly identify phase transitions, separating chaotic dynamics from ordered and robust patterns.

• Type: Conference
• Year: 2003
• Where: ECAL
• Authors: Mark Foreman, Mikhail Prokopenko, Peter Wang
• Keywords: Ageless Aerospace Vehicle, ECAL 2003, Impact Energies, Quantitative Information-theoretic Techniques