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 proceedingConference contributionpeer-review

8 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 languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages199-200
Number of pages2
ISBN (Electronic)9781479988563
DOIs
StatePublished - Jul 22 2015
Event11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015 - Fortaleza, Brazil
Duration: Jun 10 2015Jun 12 2015

Other

Other11th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2015
CountryBrazil
CityFortaleza
Period06/10/1506/12/15

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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