IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN

Yang Zhang; Hong Gao; Siyao Cheng; Zhipeng Cai; Jianzhong Li

doi:10.1007/978-3-319-60033-8_17

IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN

Yang Zhang^*
, Hong Gao
, Siyao Cheng
, Zhipeng Cai
, Jianzhong Li

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Heilongjiang University
Georgia State University
College of Computer Science and Technology, Harbin Engineering University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Energy harvesting (EH) technology largely broadens the range of applications of WSN and extends the life circle thereof. As the energy is unpredictable, the operation of energy harvesting WSN is often intermittent, maybe under the lowest working voltage in most of the time. At this point, the power dissipation may be much larger than that of sleep mode, which will waste energy and prolong the network latency time, whereas the current researches have not attempted to solve the problem. In this paper, we propose a general intermittent energy aware EH-WSN platform (IEA), along with the energy management circuit to switch the power supply automatically without any software, which is capable to decrease the quiescent current below 0.5 uA in undervoltage situation, and takes usage of Ferroelectric RAM to reduce the reboot energy for minimizing the energy dissipation. Besides, integral circuit is firstly used to realize the ultra-low power measurement. Extensive experiments have been performed to verify that the power of IEA in low voltage is at least 55 times lower than that of the current platforms for improving the energy efficiency significantly.

Original language	English
Title of host publication	Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings
Editors	Yan Zhang, Abdallah Khreishah, Mingyuan Yan, Liran Ma
Publisher	Springer Verlag
Pages	185-197
Number of pages	13
ISBN (Print)	9783319600321
DOIs	https://doi.org/10.1007/978-3-319-60033-8_17
State	Published - 2017
Externally published	Yes
Event	12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017 - Guilin, China Duration: 19 Jun 2017 → 21 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10251 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017
Country/Territory	China
City	Guilin
Period	19/06/17 → 21/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy harvesting
Energy measurement
Intermittent power
Undervoltage situation

Access to Document

10.1007/978-3-319-60033-8_17

Cite this

Zhang, Y., Gao, H., Cheng, S., Cai, Z., & Li, J. (2017). IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN. In Y. Zhang, A. Khreishah, M. Yan, & L. Ma (Eds.), Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings (pp. 185-197). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10251 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-60033-8_17

Zhang, Yang ; Gao, Hong ; Cheng, Siyao et al. / IEA : An intermittent energy aware platform for ultra-low powered energy harvesting WSN. Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings. editor / Yan Zhang ; Abdallah Khreishah ; Mingyuan Yan ; Liran Ma. Springer Verlag, 2017. pp. 185-197 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0afa96520c6d4f56adbafad067ba566a,

title = "IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN",

abstract = "Energy harvesting (EH) technology largely broadens the range of applications of WSN and extends the life circle thereof. As the energy is unpredictable, the operation of energy harvesting WSN is often intermittent, maybe under the lowest working voltage in most of the time. At this point, the power dissipation may be much larger than that of sleep mode, which will waste energy and prolong the network latency time, whereas the current researches have not attempted to solve the problem. In this paper, we propose a general intermittent energy aware EH-WSN platform (IEA), along with the energy management circuit to switch the power supply automatically without any software, which is capable to decrease the quiescent current below 0.5 uA in undervoltage situation, and takes usage of Ferroelectric RAM to reduce the reboot energy for minimizing the energy dissipation. Besides, integral circuit is firstly used to realize the ultra-low power measurement. Extensive experiments have been performed to verify that the power of IEA in low voltage is at least 55 times lower than that of the current platforms for improving the energy efficiency significantly.",

keywords = "Energy harvesting, Energy measurement, Intermittent power, Undervoltage situation",

author = "Yang Zhang and Hong Gao and Siyao Cheng and Zhipeng Cai and Jianzhong Li",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017 ; Conference date: 19-06-2017 Through 21-06-2017",

year = "2017",

doi = "10.1007/978-3-319-60033-8\_17",

language = "英语",

isbn = "9783319600321",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "185--197",

editor = "Yan Zhang and Abdallah Khreishah and Mingyuan Yan and Liran Ma",

booktitle = "Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings",

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}

Zhang, Y, Gao, H, Cheng, S, Cai, Z & Li, J 2017, IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN. in Y Zhang, A Khreishah, M Yan & L Ma (eds), Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10251 LNCS, Springer Verlag, pp. 185-197, 12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017, Guilin, China, 19/06/17. https://doi.org/10.1007/978-3-319-60033-8_17

IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN. / Zhang, Yang; Gao, Hong; Cheng, Siyao et al.
Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings. ed. / Yan Zhang; Abdallah Khreishah; Mingyuan Yan; Liran Ma. Springer Verlag, 2017. p. 185-197 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10251 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - IEA

T2 - 12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017

AU - Zhang, Yang

AU - Gao, Hong

AU - Cheng, Siyao

AU - Cai, Zhipeng

AU - Li, Jianzhong

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Energy harvesting (EH) technology largely broadens the range of applications of WSN and extends the life circle thereof. As the energy is unpredictable, the operation of energy harvesting WSN is often intermittent, maybe under the lowest working voltage in most of the time. At this point, the power dissipation may be much larger than that of sleep mode, which will waste energy and prolong the network latency time, whereas the current researches have not attempted to solve the problem. In this paper, we propose a general intermittent energy aware EH-WSN platform (IEA), along with the energy management circuit to switch the power supply automatically without any software, which is capable to decrease the quiescent current below 0.5 uA in undervoltage situation, and takes usage of Ferroelectric RAM to reduce the reboot energy for minimizing the energy dissipation. Besides, integral circuit is firstly used to realize the ultra-low power measurement. Extensive experiments have been performed to verify that the power of IEA in low voltage is at least 55 times lower than that of the current platforms for improving the energy efficiency significantly.

AB - Energy harvesting (EH) technology largely broadens the range of applications of WSN and extends the life circle thereof. As the energy is unpredictable, the operation of energy harvesting WSN is often intermittent, maybe under the lowest working voltage in most of the time. At this point, the power dissipation may be much larger than that of sleep mode, which will waste energy and prolong the network latency time, whereas the current researches have not attempted to solve the problem. In this paper, we propose a general intermittent energy aware EH-WSN platform (IEA), along with the energy management circuit to switch the power supply automatically without any software, which is capable to decrease the quiescent current below 0.5 uA in undervoltage situation, and takes usage of Ferroelectric RAM to reduce the reboot energy for minimizing the energy dissipation. Besides, integral circuit is firstly used to realize the ultra-low power measurement. Extensive experiments have been performed to verify that the power of IEA in low voltage is at least 55 times lower than that of the current platforms for improving the energy efficiency significantly.

KW - Energy harvesting

KW - Energy measurement

KW - Intermittent power

KW - Undervoltage situation

UR - https://www.scopus.com/pages/publications/85026412858

U2 - 10.1007/978-3-319-60033-8_17

DO - 10.1007/978-3-319-60033-8_17

M3 - 会议稿件

AN - SCOPUS:85026412858

SN - 9783319600321

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 185

EP - 197

BT - Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings

A2 - Zhang, Yan

A2 - Khreishah, Abdallah

A2 - Yan, Mingyuan

A2 - Ma, Liran

PB - Springer Verlag

Y2 - 19 June 2017 through 21 June 2017

ER -

Zhang Y, Gao H, Cheng S, Cai Z, Li J. IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN. In Zhang Y, Khreishah A, Yan M, Ma L, editors, Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings. Springer Verlag. 2017. p. 185-197. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-60033-8_17

IEA: An intermittent energy aware platform for ultra-low powered energy harvesting WSN

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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