Genetic Agent-Based Framework for Energy Efficiency in Wireless Sensor Networks

Jangsu LEE; Sungchun KIM

doi:10.1587/transcom.E94.B.1736

Genetic Agent-Based Framework for Energy Efficiency in Wireless Sensor Networks

Jangsu LEE, Sungchun KIM

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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.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.6 pp.1736-1739

Publication Date: 2011/06/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.1736

Type of Manuscript: LETTER

Category: Network

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Jangsu LEE, Sungchun KIM, "Genetic Agent-Based Framework for Energy Efficiency in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 6, pp. 1736-1739, June 2011, doi: 10.1587/transcom.E94.B.1736.
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.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1736/_p

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@ARTICLE{e94-b_6_1736,
author={Jangsu LEE, Sungchun KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Genetic Agent-Based Framework for Energy Efficiency in Wireless Sensor Networks},
year={2011},
volume={E94-B},
number={6},
pages={1736-1739},
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.},
keywords={},
doi={10.1587/transcom.E94.B.1736},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Genetic Agent-Based Framework for Energy Efficiency in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1736
EP - 1739
AU - Jangsu LEE
AU - Sungchun KIM
PY - 2011
DO - 10.1587/transcom.E94.B.1736
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2011
AB - 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.
ER -