Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling

Inspired by clustering and energy harvesting techniques, we study multiple-cluster wireless sensor networks with energy harvesting (EH) sensors serving as relay for cluster heads. In this paper, we derive the model for realistic energy harvesting rate. Then we propose distributed matching algorithm...

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Main Authors: ZHANG, Pengfei, TAN, Hwee-Pink, XIAO, Gaoxi, YU, Yi
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Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/3735
https://ink.library.smu.edu.sg/context/sis_research/article/4737/viewcontent/maximizing_lifetime_in_clustered_WSNs.pdf
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spelling sg-smu-ink.sis_research-47372017-09-13T05:12:02Z Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling ZHANG, Pengfei TAN, Hwee-Pink XIAO, Gaoxi YU, Yi Inspired by clustering and energy harvesting techniques, we study multiple-cluster wireless sensor networks with energy harvesting (EH) sensors serving as relay for cluster heads. In this paper, we derive the model for realistic energy harvesting rate. Then we propose distributed matching algorithm for EHs to serve as relay for CHs. The proposed algorithm could find optimal/near-optimal CH-EH matching in short time and still achieve good performance. We evaluate the performance of our method through theoretical analysis as well as simulation. 2015-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3735 info:doi/10.1109/ISSNIP.2015.7106955 https://ink.library.smu.edu.sg/context/sis_research/article/4737/viewcontent/maximizing_lifetime_in_clustered_WSNs.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering Technology and Innovation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
Technology and Innovation
spellingShingle Software Engineering
Technology and Innovation
ZHANG, Pengfei
TAN, Hwee-Pink
XIAO, Gaoxi
YU, Yi
Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling
description Inspired by clustering and energy harvesting techniques, we study multiple-cluster wireless sensor networks with energy harvesting (EH) sensors serving as relay for cluster heads. In this paper, we derive the model for realistic energy harvesting rate. Then we propose distributed matching algorithm for EHs to serve as relay for CHs. The proposed algorithm could find optimal/near-optimal CH-EH matching in short time and still achieve good performance. We evaluate the performance of our method through theoretical analysis as well as simulation.
format text
author ZHANG, Pengfei
TAN, Hwee-Pink
XIAO, Gaoxi
YU, Yi
author_facet ZHANG, Pengfei
TAN, Hwee-Pink
XIAO, Gaoxi
YU, Yi
author_sort ZHANG, Pengfei
title Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling
title_short Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling
title_full Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling
title_fullStr Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling
title_full_unstemmed Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling
title_sort maximizing lifetime in clustered wsns with energy harvesting relay: profiling and modeling
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/sis_research/3735
https://ink.library.smu.edu.sg/context/sis_research/article/4737/viewcontent/maximizing_lifetime_in_clustered_WSNs.pdf
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