IEICE TRANSACTIONS on Communications
PARC: Power Aware Routing and Clustering Scheme for Wireless Sensor Networks
Summary :
In wireless sensor networks constructed from battery driven nodes, it is difficult to supply electric power to the nodes. Because of this, the power consumption must be reduced. To cope with this problem, clustering techniques have been proposed. EACLE is a method that uses a clustering technique. In EACLE, route selection is executed independently after the CH (Cluster Head) selection. This two-phase control approach increases overheads and reduces the battery power, which shortens the lifetime of wireless sensor networks. To cope with this problem, we have proposed a novel routing and clustering method called PARC for wireless sensor networks that reduces these overheads by integrating the cluster selection phase and the route construction phase into a single phase. However, PARC has a weak point in that the batteries of CHs around the sink node are depleted earlier than the other nodes and the sink node cannot collect sensing data. This phenomenon is called the hot spot problem. In order to cope with this problem of PARC, we propose PARC+, which extends the CH selection method of PARC such as more nodes around the sink can be selected as a CH node. We evaluate our proposed methods by simulation experiments and show its effectiveness.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.12 pp.3471-3479
- Publication Date
- 2011/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.3471
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Taiju MIKOSHI, Shinichi MOMMA, Toyofumi TAKENAKA, "PARC: Power Aware Routing and Clustering Scheme for Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 12, pp. 3471-3479, December 2011, doi: 10.1587/transcom.E94.B.3471.
Abstract: In wireless sensor networks constructed from battery driven nodes, it is difficult to supply electric power to the nodes. Because of this, the power consumption must be reduced. To cope with this problem, clustering techniques have been proposed. EACLE is a method that uses a clustering technique. In EACLE, route selection is executed independently after the CH (Cluster Head) selection. This two-phase control approach increases overheads and reduces the battery power, which shortens the lifetime of wireless sensor networks. To cope with this problem, we have proposed a novel routing and clustering method called PARC for wireless sensor networks that reduces these overheads by integrating the cluster selection phase and the route construction phase into a single phase. However, PARC has a weak point in that the batteries of CHs around the sink node are depleted earlier than the other nodes and the sink node cannot collect sensing data. This phenomenon is called the hot spot problem. In order to cope with this problem of PARC, we propose PARC+, which extends the CH selection method of PARC such as more nodes around the sink can be selected as a CH node. We evaluate our proposed methods by simulation experiments and show its effectiveness.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.3471/_p
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@ARTICLE{e94-b_12_3471,
author={Taiju MIKOSHI, Shinichi MOMMA, Toyofumi TAKENAKA, },
journal={IEICE TRANSACTIONS on Communications},
title={PARC: Power Aware Routing and Clustering Scheme for Wireless Sensor Networks},
year={2011},
volume={E94-B},
number={12},
pages={3471-3479},
abstract={In wireless sensor networks constructed from battery driven nodes, it is difficult to supply electric power to the nodes. Because of this, the power consumption must be reduced. To cope with this problem, clustering techniques have been proposed. EACLE is a method that uses a clustering technique. In EACLE, route selection is executed independently after the CH (Cluster Head) selection. This two-phase control approach increases overheads and reduces the battery power, which shortens the lifetime of wireless sensor networks. To cope with this problem, we have proposed a novel routing and clustering method called PARC for wireless sensor networks that reduces these overheads by integrating the cluster selection phase and the route construction phase into a single phase. However, PARC has a weak point in that the batteries of CHs around the sink node are depleted earlier than the other nodes and the sink node cannot collect sensing data. This phenomenon is called the hot spot problem. In order to cope with this problem of PARC, we propose PARC+, which extends the CH selection method of PARC such as more nodes around the sink can be selected as a CH node. We evaluate our proposed methods by simulation experiments and show its effectiveness.},
keywords={},
doi={10.1587/transcom.E94.B.3471},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - PARC: Power Aware Routing and Clustering Scheme for Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3471
EP - 3479
AU - Taiju MIKOSHI
AU - Shinichi MOMMA
AU - Toyofumi TAKENAKA
PY - 2011
DO - 10.1587/transcom.E94.B.3471
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2011
AB - In wireless sensor networks constructed from battery driven nodes, it is difficult to supply electric power to the nodes. Because of this, the power consumption must be reduced. To cope with this problem, clustering techniques have been proposed. EACLE is a method that uses a clustering technique. In EACLE, route selection is executed independently after the CH (Cluster Head) selection. This two-phase control approach increases overheads and reduces the battery power, which shortens the lifetime of wireless sensor networks. To cope with this problem, we have proposed a novel routing and clustering method called PARC for wireless sensor networks that reduces these overheads by integrating the cluster selection phase and the route construction phase into a single phase. However, PARC has a weak point in that the batteries of CHs around the sink node are depleted earlier than the other nodes and the sink node cannot collect sensing data. This phenomenon is called the hot spot problem. In order to cope with this problem of PARC, we propose PARC+, which extends the CH selection method of PARC such as more nodes around the sink can be selected as a CH node. We evaluate our proposed methods by simulation experiments and show its effectiveness.
ER -
English
