In this paper, we propose a modeling approach for wireless sensor networks (WSNs) that is based on non-volatile two-dimensional cellular automata (CA) and analyze the space-time dynamics of a WSN based on the proposed model. We introduce the fourth circuit element with memory function — memristor into the cells of CA to model a non-volatile CA and employ the non-volatile CA in modeling a WSN. A state transition method is designed to implement the synchronous updates of the states between the central sensor nodes and its neighbors which might behave asynchronously in sending messages to the central one. Therefore, the energy consumption in sensor nodes can be reduced by lessening the amount of exchanged information. Simulations demonstrate that the energy consumption of a WSN can be reduced greatly based on the proposed model and the lifetime of the whole network can be increased.
Qin YU
University of Electronic Science and Technology of China
Wei JIANG
University of Electronic Science and Technology of China
Supeng LENG
University of Electronic Science and Technology of China
Yuming MAO
University of Electronic Science and Technology of China
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Qin YU, Wei JIANG, Supeng LENG, Yuming MAO, "Modeling Wireless Sensor Network Based on Non-Volatile Cellular Automata" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 7, pp. 1294-1301, July 2015, doi: 10.1587/transcom.E98.B.1294.
Abstract: In this paper, we propose a modeling approach for wireless sensor networks (WSNs) that is based on non-volatile two-dimensional cellular automata (CA) and analyze the space-time dynamics of a WSN based on the proposed model. We introduce the fourth circuit element with memory function — memristor into the cells of CA to model a non-volatile CA and employ the non-volatile CA in modeling a WSN. A state transition method is designed to implement the synchronous updates of the states between the central sensor nodes and its neighbors which might behave asynchronously in sending messages to the central one. Therefore, the energy consumption in sensor nodes can be reduced by lessening the amount of exchanged information. Simulations demonstrate that the energy consumption of a WSN can be reduced greatly based on the proposed model and the lifetime of the whole network can be increased.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.1294/_p
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@ARTICLE{e98-b_7_1294,
author={Qin YU, Wei JIANG, Supeng LENG, Yuming MAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Modeling Wireless Sensor Network Based on Non-Volatile Cellular Automata},
year={2015},
volume={E98-B},
number={7},
pages={1294-1301},
abstract={In this paper, we propose a modeling approach for wireless sensor networks (WSNs) that is based on non-volatile two-dimensional cellular automata (CA) and analyze the space-time dynamics of a WSN based on the proposed model. We introduce the fourth circuit element with memory function — memristor into the cells of CA to model a non-volatile CA and employ the non-volatile CA in modeling a WSN. A state transition method is designed to implement the synchronous updates of the states between the central sensor nodes and its neighbors which might behave asynchronously in sending messages to the central one. Therefore, the energy consumption in sensor nodes can be reduced by lessening the amount of exchanged information. Simulations demonstrate that the energy consumption of a WSN can be reduced greatly based on the proposed model and the lifetime of the whole network can be increased.},
keywords={},
doi={10.1587/transcom.E98.B.1294},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Modeling Wireless Sensor Network Based on Non-Volatile Cellular Automata
T2 - IEICE TRANSACTIONS on Communications
SP - 1294
EP - 1301
AU - Qin YU
AU - Wei JIANG
AU - Supeng LENG
AU - Yuming MAO
PY - 2015
DO - 10.1587/transcom.E98.B.1294
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2015
AB - In this paper, we propose a modeling approach for wireless sensor networks (WSNs) that is based on non-volatile two-dimensional cellular automata (CA) and analyze the space-time dynamics of a WSN based on the proposed model. We introduce the fourth circuit element with memory function — memristor into the cells of CA to model a non-volatile CA and employ the non-volatile CA in modeling a WSN. A state transition method is designed to implement the synchronous updates of the states between the central sensor nodes and its neighbors which might behave asynchronously in sending messages to the central one. Therefore, the energy consumption in sensor nodes can be reduced by lessening the amount of exchanged information. Simulations demonstrate that the energy consumption of a WSN can be reduced greatly based on the proposed model and the lifetime of the whole network can be increased.
ER -