Battery Lifetime Prediction Model for a WSN Platform

被引：37

作者：

Kerasiotis, Fotis ^{[1
]}

Prayati, Aggeliki ^{[1
]}

Antonopoulos, Christos ^{[1
]}

Koulamas, Christos ^{[2
]}

Papadopoulos, George ^{[1
]}

机构：

[1] Univ Patras, Dept ECE, Rio Campus 26504, Greece

[2] Ind Syst Inst, Patras 26504, Greece

来源：

2010 FOURTH INTERNATIONAL CONFERENCE ON SENSOR TECHNOLOGIES AND APPLICATIONS (SENSORCOMM) | 2008年

关键词：

embedded systems; wireless sensor networks; battery lifetime modeling; power consumption;

D O I：

10.1109/SENSORCOMM.2010.85

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wireless Sensor Network devices have by nature limited available energy to perform a wide range of demanding tasks. In order to maximize their operation lifetime, optimal resource management is an important challenge and its success requires methodical modeling of the factors contributing to the overall power consumption. Moreover, the power consumed is not always useful on its own, but it should rather express the expected lifetime concerning the device's normal operation. To achieve such awareness, this paper contributes with a measuring methodology which involves combining power consumption of platform elementary functionalities with battery discharge characteristics, so that a practical, yet accurate battery lifetime prediction model can be formed.

引用

页码：525 / 530

页数：6

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