Self-adaptive dissemination of data in dynamic sensor networks

David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chris Gaughan

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

1 Scopus citations

Abstract

The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we propose a framework for adaptive flooding protocols suitable for disseminating data in large-scale dynamic networks without a central controlling entity. The framework consists of cooperating mobile agents and a reinforcement learning component with function approximation and state generalization. A component for agent coordination is provided, as well as rules for agent replication, mutation, and annihilation. We examine the adaptability of this framework to a data dissemination problem in a simulation experiment.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008
Pages380-389
Number of pages10
DOIs
StatePublished - Dec 30 2008
Externally publishedYes
Event2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008 - Venice, Italy
Duration: Oct 20 2008Oct 24 2008

Publication series

NameProceedings - 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008

Other

Other2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2008
CountryItaly
CityVenice
Period10/20/0810/24/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering

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