[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3837/tiis.2015.01.019

An Accelerometer-Assisted Power Management for Wearable Sensor Systems

Lee, Woosik (Department of Computer Science, Kyonggi University)
Lee, Byoung-Dai (Department of Computer Science, Kyonggi University)
Kim, Namgi (Department of Computer Science, Kyonggi University)

Publication Information

KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.1, 2015 , pp. 318-330 More about this Journal

Abstract

In wearable sensor systems (WSSs), sensor nodes are deployed around human body parts such as the arms, the legs, the stomach, and the back. These sensors have limited lifetimes because they are battery-operated. Thus, transmission power control (TPC) is needed to save the energy of sensor nodes. The TPC should control the transmission power level (TPL) of sensor nodes based on current channel conditions. However, previous TPC algorithms did not precisely estimate the channel conditions. Therefore, we propose a new TPC algorithm that uses an accelerometer to directly measure the current channel condition. Based on the directly measured channel condition, the proposed algorithm adaptively adjusts the transmission interval of control packets for updating TPL. The proposed algorithm is efficient because the power consumption of the accelerometer is much lower than that of control packet transmissions. To evaluate the effectiveness of our approach, we implemented the proposed algorithm in real sensor devices and compared its performance against diverse TPC algorithms. Through the experimental results, we proved that the proposed TPC algorithm outperformed other TPC algorithms in all channel environments.

Keywords

sensors; transmission power control; power management; wearable devices;

Citations & Related Records

Reference

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