Distributed Clustering Algorithm to Explore Selection Diversity in Wireless Sensor Networks
Summary :
This paper presents a novel cross-layer approach to explore selection diversity for distributed clustering based wireless sensor networks (WSNs) by selecting a proper cluster-head. We develop and analyze an instantaneous channel state information (CSI) based cluster-head selection algorithm for a distributed, dynamic and randomized clustering based WSN. The proposed cluster-head selection scheme is also random and capable to distribute the energy uses among the nodes in the network. We present an analytical approach to evaluate the energy efficiency and system lifetime of our proposal. Analysis shows that the proposed scheme outperforms the performance of additive white Gaussian noise (AWGN) channel under Rayleigh fading environment. This proposal also outperforms the existing cooperative diversity protocols in terms of system lifetime and implementation complexity.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.5 pp.1232-1239
- Publication Date
- 2010/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.1232
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
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Hyung-Yun KONG, ASADUZZAMAN, "Distributed Clustering Algorithm to Explore Selection Diversity in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 5, pp. 1232-1239, May 2010, doi: 10.1587/transcom.E93.B.1232.
Abstract: This paper presents a novel cross-layer approach to explore selection diversity for distributed clustering based wireless sensor networks (WSNs) by selecting a proper cluster-head. We develop and analyze an instantaneous channel state information (CSI) based cluster-head selection algorithm for a distributed, dynamic and randomized clustering based WSN. The proposed cluster-head selection scheme is also random and capable to distribute the energy uses among the nodes in the network. We present an analytical approach to evaluate the energy efficiency and system lifetime of our proposal. Analysis shows that the proposed scheme outperforms the performance of additive white Gaussian noise (AWGN) channel under Rayleigh fading environment. This proposal also outperforms the existing cooperative diversity protocols in terms of system lifetime and implementation complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1232/_p
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@ARTICLE{e93-b_5_1232,
author={Hyung-Yun KONG, ASADUZZAMAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Distributed Clustering Algorithm to Explore Selection Diversity in Wireless Sensor Networks},
year={2010},
volume={E93-B},
number={5},
pages={1232-1239},
abstract={This paper presents a novel cross-layer approach to explore selection diversity for distributed clustering based wireless sensor networks (WSNs) by selecting a proper cluster-head. We develop and analyze an instantaneous channel state information (CSI) based cluster-head selection algorithm for a distributed, dynamic and randomized clustering based WSN. The proposed cluster-head selection scheme is also random and capable to distribute the energy uses among the nodes in the network. We present an analytical approach to evaluate the energy efficiency and system lifetime of our proposal. Analysis shows that the proposed scheme outperforms the performance of additive white Gaussian noise (AWGN) channel under Rayleigh fading environment. This proposal also outperforms the existing cooperative diversity protocols in terms of system lifetime and implementation complexity.},
keywords={},
doi={10.1587/transcom.E93.B.1232},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Distributed Clustering Algorithm to Explore Selection Diversity in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1232
EP - 1239
AU - Hyung-Yun KONG
AU - ASADUZZAMAN
PY - 2010
DO - 10.1587/transcom.E93.B.1232
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2010
AB - This paper presents a novel cross-layer approach to explore selection diversity for distributed clustering based wireless sensor networks (WSNs) by selecting a proper cluster-head. We develop and analyze an instantaneous channel state information (CSI) based cluster-head selection algorithm for a distributed, dynamic and randomized clustering based WSN. The proposed cluster-head selection scheme is also random and capable to distribute the energy uses among the nodes in the network. We present an analytical approach to evaluate the energy efficiency and system lifetime of our proposal. Analysis shows that the proposed scheme outperforms the performance of additive white Gaussian noise (AWGN) channel under Rayleigh fading environment. This proposal also outperforms the existing cooperative diversity protocols in terms of system lifetime and implementation complexity.
ER -
English
