IEICE TRANSACTIONS on Communications
Node Redeployment for Effective Prolong Maintenance Period in Wireless Sensor Networks
Summary :
In this paper, two efficient redeployment strategies which are designed to balance the detection coverage rate and maintenance period are proposed. To develop these strategies, we first analyze the sensor detection coverage and energy consumption model. We then propose a network maintenance indicator that considers the coverage rate and residual energy in each node. We adopt the network maintenance indicator as the cost function. That is, the network maintenance is formulated as a cost optimization problem. Finally we propose COST_MAX_MIN and COST_MAX_AVG strategies to select the redeployed location of candidate nodes. Simulation results show that the COST_MAX_AVG prolong the repair period in comparison with the COST_MAX_MIN strategy.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.10 pp.3179-3186
- Publication Date
- 2012/10/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.3179
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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ChengDong WU, Long CHENG, YunZhou ZHANG, "Node Redeployment for Effective Prolong Maintenance Period in Wireless Sensor Networks" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 10, pp. 3179-3186, October 2012, doi: 10.1587/transcom.E95.B.3179.
Abstract: In this paper, two efficient redeployment strategies which are designed to balance the detection coverage rate and maintenance period are proposed. To develop these strategies, we first analyze the sensor detection coverage and energy consumption model. We then propose a network maintenance indicator that considers the coverage rate and residual energy in each node. We adopt the network maintenance indicator as the cost function. That is, the network maintenance is formulated as a cost optimization problem. Finally we propose COST_MAX_MIN and COST_MAX_AVG strategies to select the redeployed location of candidate nodes. Simulation results show that the COST_MAX_AVG prolong the repair period in comparison with the COST_MAX_MIN strategy.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.3179/_p
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@ARTICLE{e95-b_10_3179,
author={ChengDong WU, Long CHENG, YunZhou ZHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Node Redeployment for Effective Prolong Maintenance Period in Wireless Sensor Networks},
year={2012},
volume={E95-B},
number={10},
pages={3179-3186},
abstract={In this paper, two efficient redeployment strategies which are designed to balance the detection coverage rate and maintenance period are proposed. To develop these strategies, we first analyze the sensor detection coverage and energy consumption model. We then propose a network maintenance indicator that considers the coverage rate and residual energy in each node. We adopt the network maintenance indicator as the cost function. That is, the network maintenance is formulated as a cost optimization problem. Finally we propose COST_MAX_MIN and COST_MAX_AVG strategies to select the redeployed location of candidate nodes. Simulation results show that the COST_MAX_AVG prolong the repair period in comparison with the COST_MAX_MIN strategy.},
keywords={},
doi={10.1587/transcom.E95.B.3179},
ISSN={1745-1345},
month={October},}
Copy
TY - JOUR
TI - Node Redeployment for Effective Prolong Maintenance Period in Wireless Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3179
EP - 3186
AU - ChengDong WU
AU - Long CHENG
AU - YunZhou ZHANG
PY - 2012
DO - 10.1587/transcom.E95.B.3179
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2012
AB - In this paper, two efficient redeployment strategies which are designed to balance the detection coverage rate and maintenance period are proposed. To develop these strategies, we first analyze the sensor detection coverage and energy consumption model. We then propose a network maintenance indicator that considers the coverage rate and residual energy in each node. We adopt the network maintenance indicator as the cost function. That is, the network maintenance is formulated as a cost optimization problem. Finally we propose COST_MAX_MIN and COST_MAX_AVG strategies to select the redeployed location of candidate nodes. Simulation results show that the COST_MAX_AVG prolong the repair period in comparison with the COST_MAX_MIN strategy.
ER -
English
