Adaptive routing using emergent protocols in wireless ad hoc sensor networks

Richard Brooks, Matthew Pirretti, Michelle Zhu, S. S. Iyengar

Research output: Contribution to journalConference articleResearchpeer-review

2 Citations (Scopus)

Abstract

This paper presents distributed adaptation techniques for use in wireless sensor networks. As an example application we consider data routing by a sensor network in an urban terrain. The adaptation methods are based on ideas from physics, biology, and chemistry. All approaches are emergent behaviors in that they: (i) perform global adaptation using only locally available information, (ii) have strong stochastic components, and (iii) use both positive and negative feedback to steer themselves. We analyze the approaches' ability to adapt, robustness to internal errors, and power consumption. Comparisons to standard wireless communications techniques are given.

Original languageEnglish
Pages (from-to)197-208
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5205
StatePublished - 1 Dec 2003
EventAdvanced Signal Processing Algorithms, Architectures, and Implementations - San Diego, USA, United States
Duration: 6 Aug 20038 Aug 2003

Fingerprint

Adaptive Routing
Ad hoc networks
Ad Hoc Networks
Sensor networks
Sensor Networks
Feedback
Network protocols
sensors
Emergent Behavior
Wireless sensor networks
negative feedback
positive feedback
Electric power utilization
Positive Feedback
Negative Feedback
Physics
wireless communication
biology
Wireless Communication
Chemistry

Keywords

  • Adaptation
  • Emergence
  • Sensor networks

Cite this

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Adaptive routing using emergent protocols in wireless ad hoc sensor networks. / Brooks, Richard; Pirretti, Matthew; Zhu, Michelle; Iyengar, S. S.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5205, 01.12.2003, p. 197-208.

Research output: Contribution to journalConference articleResearchpeer-review

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AB - This paper presents distributed adaptation techniques for use in wireless sensor networks. As an example application we consider data routing by a sensor network in an urban terrain. The adaptation methods are based on ideas from physics, biology, and chemistry. All approaches are emergent behaviors in that they: (i) perform global adaptation using only locally available information, (ii) have strong stochastic components, and (iii) use both positive and negative feedback to steer themselves. We analyze the approaches' ability to adapt, robustness to internal errors, and power consumption. Comparisons to standard wireless communications techniques are given.

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