A Novel Data Collection Strategy Based on Fourier Transform in Power System WSN
- DOI
- 10.2991/icmse-15.2015.202How to use a DOI?
- Keywords
- data collection; Fourier transform; wireless sensors network.
- Abstract
Temperature detection is now used for risk early warning in power system. Adopting wireless sensor network to collect temperature information is one of the most crucial applications. In order to accomplish temperature information gathering, hundreds of sensor nodes are placed in power system equipment, such as transformer, relay protection device, mutual inductor, to name a few. Studies have shown that, for nodes, message transmission consuming more energy than local data computing. It’s unrealistic to configure batteries for sensor nodes or replace them on a large scale in power system. For the purpose of lengthening the lifetime of wireless sensor network and reducing energy consumption, the amount of message transmission should be minimized. In this paper, a new data collection strategy in power system based on Fourier transform is proposed. Because of periodic character of temperature detection data, Fourier transform is adopted to linearly fit these data in this paper, and least square strategy is used to optimize parameters. The sink nodes transmit model parameters to the base station instead of thousands of data, when the error is in the range of confidence level. Experiments show that the proposed strategy obtains greater fitness and less error between the measured data and predicted data.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li Wu AU - Jiangwen Xiao AU - Jing Wu AU - Bin Liu AU - Jun Li AU - Yiwen Xiao PY - 2015/12 DA - 2015/12 TI - A Novel Data Collection Strategy Based on Fourier Transform in Power System WSN BT - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering PB - Atlantis Press SP - 1115 EP - 1120 SN - 2352-5401 UR - https://doi.org/10.2991/icmse-15.2015.202 DO - 10.2991/icmse-15.2015.202 ID - Wu2015/12 ER -