Battery Lifetime Estimation And Optimization For a WSN

Brian Nielsen; Michele Albano; Muhammad Naeem; Thomas Pedersen; Anders Hødholdt; Christian Østergaard  Laursen

Battery Lifetime Estimation And Optimization For a WSN

Brian Nielsen, Michele Albano, Muhammad Naeem, Thomas Pedersen, Anders Hødholdt, Christian Østergaard Laursen

Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Forskning › peer review

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Abstract

Digital wireless sensor nodes that monitor the hydraulic state of urban water systems (e.g.
sewer and drainage systems) typically need to be deployed and installed in inaccessible areas without
electric and wired communication infrastructure, and therefore need to operate using batteries and
wireless communication. To avoid costly large high-capacity batteries or frequent replacement, it is
crucial to provide a long lifetime of the sensor nodes while capturing the relevant water flow
information. In this paper we show how to estimate battery lifetime when different data collection and
communication strategies are used. We show that there is a potential for improving lifetime from 1 year
to several years.

Originalsprog	Engelsk
Publikationsdato	24 maj 2021
Antal sider	1
Status	Udgivet - 24 maj 2021
Begivenhed	IWA World Water Congress & Exhibition - Copenhagen , Danmark Varighed: 18 okt. 2020 → 23 okt. 2020

Konference

Konference	IWA World Water Congress & Exhibition
Land/Område	Danmark
By	Copenhagen
Periode	18/10/2020 → 23/10/2020

Bibliografisk note

Accepted for IWA 2020 - to be presented IWA 2021 (Corona postponed)

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4802800-Nielsen-posterLicens: Ikke-specificeret

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Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

1 Ph.d.-afhandling

Energy-Efficient Cyber-Physical Systems: A Model-Based Approach
Naeem, M., 2024, Aalborg University Open Publishing. 152 s.
Publikation: Ph.d.-afhandling

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Citationsformater

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title = "Battery Lifetime Estimation And Optimization For a WSN",

abstract = "Digital wireless sensor nodes that monitor the hydraulic state of urban water systems (e.g. sewer and drainage systems) typically need to be deployed and installed in inaccessible areas without electric and wired communication infrastructure, and therefore need to operate using batteries and wireless communication. To avoid costly large high-capacity batteries or frequent replacement, it is crucial to provide a long lifetime of the sensor nodes while capturing the relevant water flow information. In this paper we show how to estimate battery lifetime when different data collection and communication strategies are used. We show that there is a potential for improving lifetime from 1 year to several years.",

author = "Brian Nielsen and Michele Albano and Muhammad Naeem and Thomas Pedersen and Anders H{\o}dholdt and Laursen, {Christian {\O}stergaard}",

note = "Accepted for IWA 2020 - to be presented IWA 2021 (Corona postponed); IWA World Water Congress & Exhibition ; Conference date: 18-10-2020 Through 23-10-2020",

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TY - CONF

T1 - Battery Lifetime Estimation And Optimization For a WSN

AU - Nielsen, Brian

AU - Albano, Michele

AU - Naeem, Muhammad

AU - Pedersen, Thomas

AU - Hødholdt, Anders

AU - Laursen, Christian Østergaard

N1 - Accepted for IWA 2020 - to be presented IWA 2021 (Corona postponed)

PY - 2021/5/24

Y1 - 2021/5/24

N2 - Digital wireless sensor nodes that monitor the hydraulic state of urban water systems (e.g. sewer and drainage systems) typically need to be deployed and installed in inaccessible areas without electric and wired communication infrastructure, and therefore need to operate using batteries and wireless communication. To avoid costly large high-capacity batteries or frequent replacement, it is crucial to provide a long lifetime of the sensor nodes while capturing the relevant water flow information. In this paper we show how to estimate battery lifetime when different data collection and communication strategies are used. We show that there is a potential for improving lifetime from 1 year to several years.

AB - Digital wireless sensor nodes that monitor the hydraulic state of urban water systems (e.g. sewer and drainage systems) typically need to be deployed and installed in inaccessible areas without electric and wired communication infrastructure, and therefore need to operate using batteries and wireless communication. To avoid costly large high-capacity batteries or frequent replacement, it is crucial to provide a long lifetime of the sensor nodes while capturing the relevant water flow information. In this paper we show how to estimate battery lifetime when different data collection and communication strategies are used. We show that there is a potential for improving lifetime from 1 year to several years.

M3 - Poster

T2 - IWA World Water Congress & Exhibition

Y2 - 18 October 2020 through 23 October 2020

ER -

Battery Lifetime Estimation And Optimization For a WSN

Abstract

Konference

Bibliografisk note

Adgang til dokumentet

AUB Link

Fingeraftryk

Publikation

Energy-Efficient Cyber-Physical Systems: A Model-Based Approach

Citationsformater