Decentralized energy and power estimation in solar-powered wireless sensor networks

Ahmad H. Dehwah; Souhaib Ben Taieb; Jeff S. Shamma; Christian Claudel

doi:10.1109/DCOSS.2015.18

Decentralized energy and power estimation in solar-powered wireless sensor networks

Ahmad H. Dehwah, Souhaib Ben Taieb, Jeff S. Shamma, Christian Claudel

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

10 Scopus citations

Abstract

Solar powered wireless sensor networks are very adapted to smart city applications, since they can operate for extended durations with minimal installation costs. Nonetheless, they require energy management schemes to operate reliably, unlike their grid-powered counterparts. Such schemes require the forecasting of future solar power inputs for each wireless sensor node, over a time horizon. They also require the determination of battery energy parameters in real time. To address both requirements, we propose a collaborative solar power forecasting framework combined to a real time battery capacity estimation model, which can be used to optimize the node schedules over the corresponding horizon.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	199-200
Number of pages	2
ISBN (Electronic)	9781479988563
DOIs	https://doi.org/10.1109/DCOSS.2015.18
State	Published - Jul 22 2015
Event	11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015 - Fortaleza, Brazil Duration: Jun 10 2015 → Jun 12 2015

Publication series

Name	Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015

Conference

Conference	11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
Country/Territory	Brazil
City	Fortaleza
Period	06/10/15 → 06/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

UN SDGs

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

Access to Document

10.1109/DCOSS.2015.18

Cite this

Dehwah, A. H., Taieb, S. B., Shamma, J. S., & Claudel, C. (2015). Decentralized energy and power estimation in solar-powered wireless sensor networks. In Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015 (pp. 199-200). Article 7165038 (Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCOSS.2015.18

Dehwah, Ahmad H. ; Taieb, Souhaib Ben ; Shamma, Jeff S. et al. / Decentralized energy and power estimation in solar-powered wireless sensor networks. Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 199-200 (Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015).

@inproceedings{ff1aa78da71a49d6999eea9b3b206174,

title = "Decentralized energy and power estimation in solar-powered wireless sensor networks",

abstract = "Solar powered wireless sensor networks are very adapted to smart city applications, since they can operate for extended durations with minimal installation costs. Nonetheless, they require energy management schemes to operate reliably, unlike their grid-powered counterparts. Such schemes require the forecasting of future solar power inputs for each wireless sensor node, over a time horizon. They also require the determination of battery energy parameters in real time. To address both requirements, we propose a collaborative solar power forecasting framework combined to a real time battery capacity estimation model, which can be used to optimize the node schedules over the corresponding horizon.",

author = "Dehwah, {Ahmad H.} and Taieb, {Souhaib Ben} and Shamma, {Jeff S.} and Christian Claudel",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015 ; Conference date: 10-06-2015 Through 12-06-2015",

year = "2015",

month = jul,

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doi = "10.1109/DCOSS.2015.18",

language = "English (US)",

series = "Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015",

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Dehwah, AH, Taieb, SB, Shamma, JS & Claudel, C 2015, Decentralized energy and power estimation in solar-powered wireless sensor networks. in Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015., 7165038, Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015, Institute of Electrical and Electronics Engineers Inc., pp. 199-200, 11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015, Fortaleza, Brazil, 06/10/15. https://doi.org/10.1109/DCOSS.2015.18

Decentralized energy and power estimation in solar-powered wireless sensor networks. / Dehwah, Ahmad H.; Taieb, Souhaib Ben; Shamma, Jeff S. et al.
Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 199-200 7165038 (Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015).

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

TY - GEN

T1 - Decentralized energy and power estimation in solar-powered wireless sensor networks

AU - Dehwah, Ahmad H.

AU - Taieb, Souhaib Ben

AU - Shamma, Jeff S.

AU - Claudel, Christian

PY - 2015/7/22

Y1 - 2015/7/22

N2 - Solar powered wireless sensor networks are very adapted to smart city applications, since they can operate for extended durations with minimal installation costs. Nonetheless, they require energy management schemes to operate reliably, unlike their grid-powered counterparts. Such schemes require the forecasting of future solar power inputs for each wireless sensor node, over a time horizon. They also require the determination of battery energy parameters in real time. To address both requirements, we propose a collaborative solar power forecasting framework combined to a real time battery capacity estimation model, which can be used to optimize the node schedules over the corresponding horizon.

AB - Solar powered wireless sensor networks are very adapted to smart city applications, since they can operate for extended durations with minimal installation costs. Nonetheless, they require energy management schemes to operate reliably, unlike their grid-powered counterparts. Such schemes require the forecasting of future solar power inputs for each wireless sensor node, over a time horizon. They also require the determination of battery energy parameters in real time. To address both requirements, we propose a collaborative solar power forecasting framework combined to a real time battery capacity estimation model, which can be used to optimize the node schedules over the corresponding horizon.

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U2 - 10.1109/DCOSS.2015.18

DO - 10.1109/DCOSS.2015.18

M3 - Conference contribution

AN - SCOPUS:84945949559

T3 - Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015

SP - 199

EP - 200

BT - Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015

Y2 - 10 June 2015 through 12 June 2015

ER -

Dehwah AH, Taieb SB, Shamma JS, Claudel C. Decentralized energy and power estimation in solar-powered wireless sensor networks. In Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 199-200. 7165038. (Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015). doi: 10.1109/DCOSS.2015.18

Decentralized energy and power estimation in solar-powered wireless sensor networks

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

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