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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Main Authors: Yunyue Lin, Qishi Wu, Xiaoshan Cai, Xiaojiang Du, Ki-Hyeon Kwon
Format: Article
Language:English
Published: SAGE Publishing 2010-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2010/563156
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spelling 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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