On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks
Data transmission from sensor nodes to a base station or a sink node often incurs significant energy consumption, which critically affects network lifetime. We generalize and solve the problem of deploying multiple base stations to maximize network lifetime in terms of two different metrics under on...
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2010/563156 |
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doaj-f5897795b9df410f9432257ccb84560a2020-11-25T02:59:01ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772010-07-01610.1155/2010/563156On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor NetworksYunyue Lin0Qishi Wu1Xiaoshan Cai2Xiaojiang Du3Ki-Hyeon Kwon4 Department of Computer Science, University of Memphis, Memphis, TN 38152, USA Department of Computer Science, University of Memphis, Memphis, TN 38152, USA Department of Computer Science, University of Memphis, Memphis, TN 38152, USA Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA Department of Information and Communication Engineering, Kangwon National University, Samcheok, Gangwon 245-711, Republic of KoreaData transmission from sensor nodes to a base station or a sink node often incurs significant energy consumption, which critically affects network lifetime. We generalize and solve the problem of deploying multiple base stations to maximize network lifetime in terms of two different metrics under one-hop and multihop communication models. In the one-hop communication model, the sensors far away from base stations always deplete their energy much faster than others. We propose an optimal solution and a heuristic approach based on the minimal enclosing circle algorithm to deploy a base station at the geometric center of each cluster. In the multihop communication model, both base station location and data routing mechanism need to be considered in maximizing network lifetime. We propose an iterative algorithm based on rigorous mathematical derivations and use linear programming to compute the optimal routing paths for data transmission. Simulation results show the distinguished performance of the proposed deployment algorithms in maximizing network lifetime.https://doi.org/10.1155/2010/563156 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yunyue Lin Qishi Wu Xiaoshan Cai Xiaojiang Du Ki-Hyeon Kwon |
spellingShingle |
Yunyue Lin Qishi Wu Xiaoshan Cai Xiaojiang Du Ki-Hyeon Kwon On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
author_facet |
Yunyue Lin Qishi Wu Xiaoshan Cai Xiaojiang Du Ki-Hyeon Kwon |
author_sort |
Yunyue Lin |
title |
On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks |
title_short |
On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks |
title_full |
On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks |
title_fullStr |
On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks |
title_full_unstemmed |
On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks |
title_sort |
on deployment of multiple base stations for energy-efficient communication in wireless sensor networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2010-07-01 |
description |
Data transmission from sensor nodes to a base station or a sink node often incurs significant energy consumption, which critically affects network lifetime. We generalize and solve the problem of deploying multiple base stations to maximize network lifetime in terms of two different metrics under one-hop and multihop communication models. In the one-hop communication model, the sensors far away from base stations always deplete their energy much faster than others. We propose an optimal solution and a heuristic approach based on the minimal enclosing circle algorithm to deploy a base station at the geometric center of each cluster. In the multihop communication model, both base station location and data routing mechanism need to be considered in maximizing network lifetime. We propose an iterative algorithm based on rigorous mathematical derivations and use linear programming to compute the optimal routing paths for data transmission. Simulation results show the distinguished performance of the proposed deployment algorithms in maximizing network lifetime. |
url |
https://doi.org/10.1155/2010/563156 |
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