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IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
Genetic Agent-Based Framework for Energy Efficiency in Wireless Sensor Networks
Jangsu LEESungchun KIM
Author information
  • Jangsu LEE

    Sogang University

  • Sungchun KIM

    Sogang University

Corresponding author

ORCID
Keywords:agent,energy efficiency,genetic algorithm,wireless sensor networks
JOURNALRESTRICTED ACCESS

2011 Volume E94.BIssue 6Pages 1736-1739

DOIhttps://doi.org/10.1587/transcom.E94.B.1736
Details
  • Published: June 01, 2011Received: December 08, 2009Available on J-STAGE: June 01, 2011Accepted: -Advance online publication: -Revised: -
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Abstract
Wireless sensor networks (WSN) is composed of so many small sensor nodes which have limited resources. So the technique that raises energy efficiency is the key to prolong the network life time. In the paper, we propose an agent based framework which takes the biological characteristics of gene. The gene represents an operation policy to control agent behavior. Agents are aggregated to reduce duplicate transmissions in active period. And it selects next hop based on the information of neighbor agents. Among neighbors, the node which has enough energy is given higher priority. The base station processes genetic evolution to refine the behavior policy of agent. Each agent is taken latest gene and spread recursively to find the optimal gene. Our proposed framework yields sensor nodes that have the properties of self-healing, self-configuration, and self-optimization. Simulation results show that our proposed framework increases the lifetime of each node.
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© 2011 The Institute of Electronics, Information and Communication Engineers
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