Energy parameter estimation in solar powered wireless sensor networks

Handle URI:
http://hdl.handle.net/10754/564886
Title:
Energy parameter estimation in solar powered wireless sensor networks
Authors:
Mousa, Mustafa ( 0000-0001-9355-1343 ) ; Claudel, Christian G. ( 0000-0003-0702-6548 )
Abstract:
The operation of solar powered wireless sensor networks is associated with numerous challenges. One of the main challenges is the high variability of solar power input and battery capacity, due to factors such as weather, humidity, dust and temperature. In this article, we propose a set of tools that can be implemented onboard high power wireless sensor networks to estimate the battery condition and capacity as well as solar power availability. These parameters are very important to optimize sensing and communications operations and maximize the reliability of the complete system. Experimental results show that the performance of typical Lithium Ion batteries severely degrades outdoors in a matter of weeks or months, and that the availability of solar energy in an urban solar powered wireless sensor network is highly variable, which underlines the need for such power and energy estimation algorithms.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Distributed Sensing Systems Laboratory (DSS)
Publisher:
Springer Science + Business Media
Journal:
Lecture Notes in Electrical Engineering
Conference/Event name:
5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013
Issue Date:
24-Feb-2014
DOI:
10.1007/978-3-319-03071-5_22
Type:
Conference Paper
ISSN:
18761100
ISBN:
9783319030708
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorMousa, Mustafaen
dc.contributor.authorClaudel, Christian G.en
dc.date.accessioned2015-08-04T07:24:08Zen
dc.date.available2015-08-04T07:24:08Zen
dc.date.issued2014-02-24en
dc.identifier.isbn9783319030708en
dc.identifier.issn18761100en
dc.identifier.doi10.1007/978-3-319-03071-5_22en
dc.identifier.urihttp://hdl.handle.net/10754/564886en
dc.description.abstractThe operation of solar powered wireless sensor networks is associated with numerous challenges. One of the main challenges is the high variability of solar power input and battery capacity, due to factors such as weather, humidity, dust and temperature. In this article, we propose a set of tools that can be implemented onboard high power wireless sensor networks to estimate the battery condition and capacity as well as solar power availability. These parameters are very important to optimize sensing and communications operations and maximize the reliability of the complete system. Experimental results show that the performance of typical Lithium Ion batteries severely degrades outdoors in a matter of weeks or months, and that the availability of solar energy in an urban solar powered wireless sensor network is highly variable, which underlines the need for such power and energy estimation algorithms.en
dc.publisherSpringer Science + Business Mediaen
dc.titleEnergy parameter estimation in solar powered wireless sensor networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentDistributed Sensing Systems Laboratory (DSS)en
dc.identifier.journalLecture Notes in Electrical Engineeringen
dc.conference.date19 September 2013 through 20 September 2013en
dc.conference.name5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013en
dc.conference.locationComoen
kaust.authorClaudel, Christian G.en
kaust.authorMousa, Mustafaen
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