Throughput optimal energy neutral management for energy harvesting wireless sensor networks

Energy harvesting techniques have enabled the provisioning of alternative energy sources beside the conventional one which is typically provided by the batteries. Using such harvesting techniques together with proper energy management mechanisms, a Energy Neutral state can be achieved so that desire...

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Main Authors: Low, Chor Ping, Peng, Shuai.
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/103944
http://hdl.handle.net/10220/16550
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1039442020-03-07T13:24:51Z Throughput optimal energy neutral management for energy harvesting wireless sensor networks Low, Chor Ping Peng, Shuai. School of Electrical and Electronic Engineering IEEE Wireless Communications and Networking Conference (2012 : Shanghai, China) DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Energy harvesting techniques have enabled the provisioning of alternative energy sources beside the conventional one which is typically provided by the batteries. Using such harvesting techniques together with proper energy management mechanisms, a Energy Neutral state can be achieved so that desired performance level can be supported perpetually. Existing energy neutral management mechanisms rely on the prediction of the amount of energy that can be harvested in the future. Such mechanisms suffer from the time consuming prediction processes and great fluctuations in the actual implementations. Hence, in this paper we propose real time adaptive energy management policies that enable energy neutral management based solely on observed information in the past instead of predicting the amount of energy that can be harvested in the future. We will show that these policies are throughput optimal in the sense that we are able to ensure that the data queue of each sensor node remain stable when the largest possible data rate is applied under different channel capacity scenarios. We also propose an energy harvest-store(use) method to reduce the energy losses caused by storing energy in non ideal energy buffers. Simulation studies show that our proposed throughput optimal policies and harvest-store(use) method are indeed able to improve the overall throughput as compared to existing schemes. 2013-10-17T04:30:10Z 2019-12-06T21:23:27Z 2013-10-17T04:30:10Z 2019-12-06T21:23:27Z 2012 2012 Conference Paper Peng, S., & Low, C. P. (2012). Throughput optimal energy neutral management for energy harvesting wireless sensor networks. IEEE Wireless Communications and Networking Conference (WCNC), pp.2347-2351. https://hdl.handle.net/10356/103944 http://hdl.handle.net/10220/16550 10.1109/WCNC.2012.6214186 en © 2012 IEEE
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Low, Chor Ping
Peng, Shuai.
Throughput optimal energy neutral management for energy harvesting wireless sensor networks
description Energy harvesting techniques have enabled the provisioning of alternative energy sources beside the conventional one which is typically provided by the batteries. Using such harvesting techniques together with proper energy management mechanisms, a Energy Neutral state can be achieved so that desired performance level can be supported perpetually. Existing energy neutral management mechanisms rely on the prediction of the amount of energy that can be harvested in the future. Such mechanisms suffer from the time consuming prediction processes and great fluctuations in the actual implementations. Hence, in this paper we propose real time adaptive energy management policies that enable energy neutral management based solely on observed information in the past instead of predicting the amount of energy that can be harvested in the future. We will show that these policies are throughput optimal in the sense that we are able to ensure that the data queue of each sensor node remain stable when the largest possible data rate is applied under different channel capacity scenarios. We also propose an energy harvest-store(use) method to reduce the energy losses caused by storing energy in non ideal energy buffers. Simulation studies show that our proposed throughput optimal policies and harvest-store(use) method are indeed able to improve the overall throughput as compared to existing schemes.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Low, Chor Ping
Peng, Shuai.
format Conference or Workshop Item
author Low, Chor Ping
Peng, Shuai.
author_sort Low, Chor Ping
title Throughput optimal energy neutral management for energy harvesting wireless sensor networks
title_short Throughput optimal energy neutral management for energy harvesting wireless sensor networks
title_full Throughput optimal energy neutral management for energy harvesting wireless sensor networks
title_fullStr Throughput optimal energy neutral management for energy harvesting wireless sensor networks
title_full_unstemmed Throughput optimal energy neutral management for energy harvesting wireless sensor networks
title_sort throughput optimal energy neutral management for energy harvesting wireless sensor networks
publishDate 2013
url https://hdl.handle.net/10356/103944
http://hdl.handle.net/10220/16550
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