High performance sleep-wake sensor systems based on cyclic cellular automata

Y. M. Baryshnikov, E. G. Coffman, K. J. Kwak

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

25 Citations (Scopus)

Abstract

Our contribution in this paper is a scalable, easily implemented, self-organizing, energy conserving intruderdetection sensor system applying concepts from cellular automata theory. The system self-assembles periodic wakesensor barriers (waves) that sweep the sensor field; it is highly effective even in the case of frequent communication failures, sensor failures, large obstacles, and when intruders know sensor locations.

Original languageEnglish
Title of host publicationProceedings - 2008 International Conference on Information Processing in Sensor Networks, IPSN 2008
Pages517-526
Number of pages10
DOIs
Publication statusPublished - Sep 12 2008
Externally publishedYes
Event2008 International Conference on Information Processing in Sensor Networks, IPSN 2008 - St. Louis, MO, United States
Duration: Apr 22 2008Apr 24 2008

Publication series

NameProceedings - 2008 International Conference on Information Processing in Sensor Networks, IPSN 2008

Conference

Conference2008 International Conference on Information Processing in Sensor Networks, IPSN 2008
CountryUnited States
CitySt. Louis, MO
Period4/22/084/24/08

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Baryshnikov, Y. M., Coffman, E. G., & Kwak, K. J. (2008). High performance sleep-wake sensor systems based on cyclic cellular automata. In Proceedings - 2008 International Conference on Information Processing in Sensor Networks, IPSN 2008 (pp. 517-526). [4505500] (Proceedings - 2008 International Conference on Information Processing in Sensor Networks, IPSN 2008). https://doi.org/10.1109/IPSN.2008.14