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

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

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

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
Externally published	Yes
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

Other

Other	11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
Country/Territory	Brazil
City	Fortaleza
Period	6/10/15 → 6/12/15

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Online availability

10.1109/DCOSS.2015.18

Library availability

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Dehwah, A. H., Taieb, S. B., Shamma, J. S., & Claudel, C. G. (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

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

Dehwah, AH, Taieb, SB, Shamma, JS & Claudel, CG 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, 6/10/15. https://doi.org/10.1109/DCOSS.2015.18

Dehwah AH, Taieb SB, Shamma JS, Claudel CG. 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

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).

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

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