TY - GEN
T1 - Poster Abstract: Decentralized energy and power estimation in solar-powered wireless sensor networks
AU - Dehwah, Ahmad H.
AU - Taieb, Souhaib Ben
AU - Shamma, Jeff S.
AU - Claudel, Christian G.
N1 - KAUST Repository Item: Exported on 2021-12-14
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/670640
UR - http://ieeexplore.ieee.org/document/7165038/
UR - http://www.scopus.com/inward/record.url?scp=84945949559&partnerID=8YFLogxK
U2 - 10.1109/DCOSS.2015.18
DO - 10.1109/DCOSS.2015.18
M3 - Conference contribution
AN - SCOPUS:84945949559
SN - 9781479988563
SP - 199
EP - 200
BT - 2015 International Conference on Distributed Computing in Sensor Systems
PB - IEEE
ER -
