A Reliable Data Delivery Mechanism for Grid Power Quality Using Neural Networks in Wireless Sensor Networks

Sensors

Yujin Lim²  Hak-Man Kim¹ 

[1] Department of Electrical Engineering, University of Incheon/12-1, Sondo-dong, Yeonsu-gu, Incheon, 406-840, Korea;Department of Information Media, University of Suwon/San 2-2, Wau-ri, Bongdam-eup, Hwaseong-si, Gyeonggi-do, 445-743, Korea; E-Mail:

关键词: neural network;    sensor network;    cost function;    data delivery mechanism;    power quality;   

DOI  :  10.3390/s101009349

来源: mdpi

【 摘 要 】

Power grids deal with the business of generation, transmission, and distribution of electric power. Current systems monitor basic electrical quantities such as voltage and current from major pole transformers using their temperature. We improve the current systems in order to gather and deliver the information of power qualities such as harmonics, voltage sags, and voltage swells. In the system, data delivery is not guaranteed for the case that a node is lost or the network is congested, because the system has in-line and multi-hop architecture. In this paper, we propose a reliable data delivery mechanism by modeling an optimal data delivery function by employing the neural network concept.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.