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ZENODO
Article . 2010
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2010
License: CC BY
Data sources: Datacite
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A Study Of Dynamic Clustering Method To Extend The Lifetime Of Wireless Sensor Network

Authors: Wernhuar Tarng; Kun-Jie Huang; Deng, Li-Zhong; Hsie, Kun-Rong; Mingteh Chen;

A Study Of Dynamic Clustering Method To Extend The Lifetime Of Wireless Sensor Network

Abstract

In recent years, the research in wireless sensor network has increased steadily, and many studies were focusing on reducing energy consumption of sensor nodes to extend their lifetimes. In this paper, the issue of energy consumption is investigated and two adaptive mechanisms are proposed to extend the network lifetime. This study uses high-energy-first scheme to determine cluster heads for data transmission. Thus, energy consumption in each cluster is balanced and network lifetime can be extended. In addition, this study uses cluster merging and dynamic routing mechanisms to further reduce energy consumption during data transmission. The simulation results show that the proposed method can effectively extend the lifetime of wireless sensor network, and it is suitable for different base station locations.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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