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 -