Paper Info
Title
Optimal battery control strategy for wireless sensor networks with solar energy supply
Abstract
Battery energy management and optimization are of significant importance to self-sustained wireless sensor networks (WSNs) that use solar energy harvesting instead of fixed power supply as the charging source. In this paper, an optimal control strategy for WSNs with solar energy supply is proposed. A modified Kinetic Battery Model (KBM) considering charging input is introduced to account for the dynamic characteristics of a rechargeable battery. To fully utilize available solar energy during each sampling cycle of the WSNs, dynamic voltage scheduling (DVS) is incorporated to flexibly adjust the working period of flexible tasks. The length of working periods is decided based on the derived optimal solution. Numerical simulation is carried out to evaluate the proposed optimal control strategy. The result indicates significant energy saving as compared to the conventional battery control strategy.
Year
DOI
Venue
2014
10.1109/ACC.2014.6859353
ACC
Keywords
DocType
ISSN
optimisation,WSN,Optimization,optimal control,scheduling,modified kinetic battery model,battery management systems,fixed power supply,solar power,DVS,Wireless,numerical analysis,telecommunication power management,KBM,Control applications,dynamic voltage scheduling,charging source,energy harvesting,battery energy management,optimization,optimal battery control,numerical simulation,wireless sensor networks,secondary cells,solar energy supply,solar energy harvesting
Conference
0743-1619
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Yunjie Yang1124.01
Zhaoyan Fan2154.11
Robert X. Gao338739.94