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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 25, Number 6 (2013)
Copyright(C) MYU K.K.
pp. 353-358
S&M926 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2013.876
Published: August 26, 2013

Fishing Spider Cluster Configuration: An Energy- Efficient Wireless Sensor Clustering Method [PDF]

Kyuhong Lee and Heesang Lee

(Received November 5, 2012; Accepted February 4, 2013)

Keywords: wireless sensor network, energy efficiency, self-organized, bioinspired clustering model

In this paper, we propose an energy-efficient clustering model for wireless sensor networks. This model performs self-organized clustering using local information and simple rules inspired by the behaviors and capabilities of the six-spotted fishing spider Dolomedes triton. We compare our model with a well-known cluster-based routing protocol that uses random fairness for the selection of cluster heads. In our computational experiments, we show that the energy efficiency, lifetime, and scalability of our model exceed those of the comparison protocol.

Corresponding author: Heesang Lee


Cite this article
Kyuhong Lee and Heesang Lee, Fishing Spider Cluster Configuration: An Energy- Efficient Wireless Sensor Clustering Method, Sens. Mater., Vol. 25, No. 6, 2013, p. 353-358.



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