DocumentCode :
732268
Title :
WSN power management with battery capacity estimation
Author :
Mokrenko, O. ; Vergara-Gallego, M.-I. ; Lombardi, W. ; Lesecq, S. ; Albea, C.
Author_Institution :
LETI, CEA, Grenoble, France
fYear :
2015
fDate :
7-10 June 2015
Firstpage :
1
Lastpage :
4
Abstract :
Wireless sensor nodes are now cheap and reliable enough to be deployed in different environments. However, their limited energy capacity limits their lifespan. In this paper, a Management strategy at network-level of a set of nodes is implemented, taking into account an estimation of the remaining energy in each sensor node. The control formulation is based on Model Predictive Control with constraints and binary optimization variables, leading to a Mixed Integer Quadratic Programming problem. The estimation of the remaining energy in batteries must be simple enough to be implemented in low-cost, low-power, low-computational-capability sensor nodes.
Keywords :
integer programming; predictive control; quadratic programming; telecommunication power management; wireless sensor networks; WSN power management; battery capacity estimation; binary optimization variable; energy capacity limit; energy estimation; mixed integer quadratic programming problem; model predictive control; wireless sensor node; Batteries; Calibration; Estimation; Silicon; System-on-chip; Tin; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2015 IEEE 13th International
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/NEWCAS.2015.7182060
Filename :
7182060
Link To Document :
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