TY - GEN
T1 - Energy parameter estimation in solar powered wireless sensor networks
AU - Mousa, Mustafa
AU - Claudel, Christian G.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/12/20
Y1 - 2013/12/20
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/564886
UR - http://link.springer.com/10.1007/978-3-319-03071-5_22
UR - http://www.scopus.com/inward/record.url?scp=84958547920&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-03071-5_22
DO - 10.1007/978-3-319-03071-5_22
M3 - Conference contribution
SN - 9783319030708
SP - 217
EP - 229
BT - Lecture Notes in Electrical Engineering
PB - Springer Nature
ER -