Phase transitions in self-organising sensor networks

Mark Foreman, Mikhail Prokopenko, Peter Wang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

17 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Artificial Life
EditorsD. Hutchison, T. Kanade, J. Kittler, J.M. Kleinberg, F. Mattern, J.C. Mitchell, M. Naor, C. Pandu Rangan, B. Steffen, D. Terzopoulos, D. Tygar, G. Weikum
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Pages781-791
Number of pages11
Volume2801
ISBN (Electronic)9783540394327
ISBN (Print)9783540200574
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event7th European Conference on Artificial Life, ECAL - 2003 - Dortmund, Germany
Duration: 14 Sep 200317 Sep 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Nature
Volume2801
ISSN (Print)0302-9743

Other

Other7th European Conference on Artificial Life, ECAL - 2003
CountryGermany
CityDortmund
Period14/09/0317/09/03

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