Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors
Motivated by recent developments in wireless sensor networks (WSNs), we present several efficient clustering algorithms for maximizing the lifetime of WSNs, i.e., the duration till a certain percentage of the nodes die. Specifically, an optimization algorithm is proposed for maximizing the lifetime...
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sg-ntu-dr.10356-996082020-03-07T14:00:31Z Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors Zhang, Pengfei Xiao, Gaoxi Tan, Hwee-Pink School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Motivated by recent developments in wireless sensor networks (WSNs), we present several efficient clustering algorithms for maximizing the lifetime of WSNs, i.e., the duration till a certain percentage of the nodes die. Specifically, an optimization algorithm is proposed for maximizing the lifetime of a single-cluster network, followed by an extension to handle multi-cluster networks. Then we study the joint problem of prolonging network lifetime by introducing energy-harvesting (EH) nodes. An algorithm is proposed for maximizing the network lifetime where EH nodes serve as dedicated relay nodes for cluster heads (CHs). Theoretical analysis and extensive simulation results show that the proposed algorithms can achieve optimal or suboptimal solutions efficiently, and therefore help provide useful benchmarks for various centralized and distributed clustering scheme designs. 2013-11-12T05:29:07Z 2019-12-06T20:09:29Z 2013-11-12T05:29:07Z 2019-12-06T20:09:29Z 2013 2013 Journal Article Zhang, P., Xiao, G., & Tan, H.-P. (2013). Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors. Computer Networks, 57(14), 2689-2704. 1389-1286 https://hdl.handle.net/10356/99608 http://hdl.handle.net/10220/17596 10.1016/j.comnet.2013.06.003 en Computer networks |
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DRNTU::Engineering::Electrical and electronic engineering Zhang, Pengfei Xiao, Gaoxi Tan, Hwee-Pink Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
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Motivated by recent developments in wireless sensor networks (WSNs), we present several efficient clustering algorithms for maximizing the lifetime of WSNs, i.e., the duration till a certain percentage of the nodes die. Specifically, an optimization algorithm is proposed for maximizing the lifetime of a single-cluster network, followed by an extension to handle multi-cluster networks. Then we study the joint problem of prolonging network lifetime by introducing energy-harvesting (EH) nodes. An algorithm is proposed for maximizing the network lifetime where EH nodes serve as dedicated relay nodes for cluster heads (CHs). Theoretical analysis and extensive simulation results show that the proposed algorithms can achieve optimal or suboptimal solutions efficiently, and therefore help provide useful benchmarks for various centralized and distributed clustering scheme designs. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zhang, Pengfei Xiao, Gaoxi Tan, Hwee-Pink |
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Article |
author |
Zhang, Pengfei Xiao, Gaoxi Tan, Hwee-Pink |
author_sort |
Zhang, Pengfei |
title |
Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
title_short |
Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
title_full |
Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
title_fullStr |
Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
title_full_unstemmed |
Clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
title_sort |
clustering algorithms for maximizing the lifetime of wireless sensor networks with energy-harvesting sensors |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/99608 http://hdl.handle.net/10220/17596 |
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