Power Management Techniques in Wireless Sensor Network

2012 ◽  
Vol 57 (SI-1 Track-F) ◽  
Author(s):  
K. Becher ◽  
S. Dussa ◽  
R. Ruff ◽  
K.-P. Hoffmann
2017 ◽  
Vol 13 (12) ◽  
pp. 67
Author(s):  
Jianying Shi ◽  
Yanbin Xu

<p class="0abstract">To explore the design of solar power management circuit, the fuzzy logic control algorithm based on MPPT (max power point tracking), which has fast control speed and good environment robustness, is adopted as the control algorithm. In addition, the MPPT solar battery charge and discharge power management circuit is designed and successfully applied in the on-line measurement projects of dielectric loss of wireless sensor network in Jilin Province LG Electronics Company. The results show that the charging efficiency of solar battery charge and discharge power management circuit can reach above 80%, and the current of static power management circuit is less than 1mA. In different light intensities, the dynamic power management is intelligently carried out. At last, it is concluded that the stability and reliability of circuit are quite high.</p>


2009 ◽  
Vol 58 (9) ◽  
pp. 3104-3111 ◽  
Author(s):  
F. Salvadori ◽  
M. de Campos ◽  
P.S. Sausen ◽  
R.F. de Camargo ◽  
C. Gehrke ◽  
...  

2013 ◽  
Vol 705 ◽  
pp. 352-358
Author(s):  
Chun Xiao Fan ◽  
Ran Li ◽  
Jun Wei Zou ◽  
Ye Qiao Wang

This paper introduces an application of wireless sensor network based on the ZigBee -- the Smart-Scene system. In-depth analysis of factors of invalid power consumption, a functional separated sink node is designed and a DPM (Dynamic Power Management) schema of dynamic node based on event-driven is proposed. The schema is used in Smart-Scene system and the experimental results indicate it is high feasibility and reduce energy consumption. This method will become an effective solution for wireless sensor network.


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