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ECAL
2003
Springer

Phase Transitions in Self-Organising Sensor Networks

13 years 8 months ago
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.
Mark Foreman, Mikhail Prokopenko, Peter Wang
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where ECAL
Authors Mark Foreman, Mikhail Prokopenko, Peter Wang
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