Adaptive wireless networking primitives for distributed scheduling: Can radios swarm?

Roberto Pagliari, Anna Scaglione, Yao Win Peter Hong

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

2 Scopus citations

Abstract

Motivated by the beauty and the simplicity of biologically inspired algorithm, we study a class of self-organizing protocols based on the Pulse-Coupled Oscillators (PCO). Specifically, we consider two different dynamics of this protocol and show how by flipping the sign of the coupling among the nodes translates into two different emerging pattern: synchrony and de-synchrony. The former is a state where all the nodes pulse at unison. The latter is a situation where the nodes alternate their firings, so that the time between two consecutive firings is constant.

Original languageEnglish (US)
Title of host publicationCAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Pages133-136
Number of pages4
DOIs
StatePublished - Dec 1 2009
Externally publishedYes
Event2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 - Aruba, Netherlands
Duration: Dec 13 2009Dec 16 2009

Publication series

NameCAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Other

Other2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009
CountryNetherlands
CityAruba
Period12/13/0912/16/09

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software

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    Pagliari, R., Scaglione, A., & Hong, Y. W. P. (2009). Adaptive wireless networking primitives for distributed scheduling: Can radios swarm? In CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (pp. 133-136). [5413320] (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing). https://doi.org/10.1109/CAMSAP.2009.5413320