Reliability modeling and planning of energy harvesting based on uncertainty theory

Energy harvesting network is a new form of computer networks.It can convert the environmental energy into usable electric energy,and supply the electrical energy as a primary or secondary power source to the electronic device for network communication.However,the energy harvesting process has great...

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Main Authors: Zhe WANG, Taoshen LI, Jin YE, Zhihui GE, Min WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-05-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018087/
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author Zhe WANG
Taoshen LI
Jin YE
Zhihui GE
Min WU
author_facet Zhe WANG
Taoshen LI
Jin YE
Zhihui GE
Min WU
author_sort Zhe WANG
collection DOAJ
description Energy harvesting network is a new form of computer networks.It can convert the environmental energy into usable electric energy,and supply the electrical energy as a primary or secondary power source to the electronic device for network communication.However,the energy harvesting process has great volatility and uncertainty,the traditional analytical method based on probability distribution function to describe the energy collection process can not accurately simulate the actual situation,resulting in higher depletion probability of nodes,then the reliability cannot be guaranteed as a result.For this,the energy harvesting reliability of energy harvesting nodes was defined,represented with the degree of normal operation,respectively set up the node reliability models with no battery and infinite battery.As an example for maximum node achievable rate,the uncertain multilevel programming model based on node reliability was put forward,then the network efficiency was improved under the premise of ensuring node reliability.An energy average allocation (EAA) algorithm was proposed and the upper bound of competitive ratio of the algorithm was proved theoretically.Finally,the actual wind power data was taken as an example to verify the feasibility and effectiveness of the proposed model and method.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2018-05-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-944bbead479e4512848abb34d68a6f4a2025-01-14T07:14:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-05-013916617659718458Reliability modeling and planning of energy harvesting based on uncertainty theoryZhe WANGTaoshen LIJin YEZhihui GEMin WUEnergy harvesting network is a new form of computer networks.It can convert the environmental energy into usable electric energy,and supply the electrical energy as a primary or secondary power source to the electronic device for network communication.However,the energy harvesting process has great volatility and uncertainty,the traditional analytical method based on probability distribution function to describe the energy collection process can not accurately simulate the actual situation,resulting in higher depletion probability of nodes,then the reliability cannot be guaranteed as a result.For this,the energy harvesting reliability of energy harvesting nodes was defined,represented with the degree of normal operation,respectively set up the node reliability models with no battery and infinite battery.As an example for maximum node achievable rate,the uncertain multilevel programming model based on node reliability was put forward,then the network efficiency was improved under the premise of ensuring node reliability.An energy average allocation (EAA) algorithm was proposed and the upper bound of competitive ratio of the algorithm was proved theoretically.Finally,the actual wind power data was taken as an example to verify the feasibility and effectiveness of the proposed model and method.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018087/energy harvesting networkreliabilityuncertainty theorymultilevel programmingscenarios generation
spellingShingle Zhe WANG
Taoshen LI
Jin YE
Zhihui GE
Min WU
Reliability modeling and planning of energy harvesting based on uncertainty theory
Tongxin xuebao
energy harvesting network
reliability
uncertainty theory
multilevel programming
scenarios generation
title Reliability modeling and planning of energy harvesting based on uncertainty theory
title_full Reliability modeling and planning of energy harvesting based on uncertainty theory
title_fullStr Reliability modeling and planning of energy harvesting based on uncertainty theory
title_full_unstemmed Reliability modeling and planning of energy harvesting based on uncertainty theory
title_short Reliability modeling and planning of energy harvesting based on uncertainty theory
title_sort reliability modeling and planning of energy harvesting based on uncertainty theory
topic energy harvesting network
reliability
uncertainty theory
multilevel programming
scenarios generation
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018087/
work_keys_str_mv AT zhewang reliabilitymodelingandplanningofenergyharvestingbasedonuncertaintytheory
AT taoshenli reliabilitymodelingandplanningofenergyharvestingbasedonuncertaintytheory
AT jinye reliabilitymodelingandplanningofenergyharvestingbasedonuncertaintytheory
AT zhihuige reliabilitymodelingandplanningofenergyharvestingbasedonuncertaintytheory
AT minwu reliabilitymodelingandplanningofenergyharvestingbasedonuncertaintytheory