Title:

OS2-4 Transmission Power Control for Wireless Sensor Network

Publication: ICAROB2017
Volume: 22
Pages: 75-78
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2017.OS2-4
Author(s): Kuo-Hsien Hsia, Chung-Wen Hung, Hsuan T. Chang, Yuan-Hao Lai
Publication Date: January 19, 2017
Keywords: Transmission power control, fuzzy control, wireless sensor network, internet of thing
Abstract: Wireless sensor networks can be widely applied for a security system or a smart home system. Since some of the wireless remote sensor nodes may be powered by energy storage devices such as batteries, it is a very important issue to transmit signals at lower power with the consideration of the communication effectiveness. In this paper, we will provide a fuzzy controller with two inputs and one output for received signal strength indicator (RSSI) and link quality indicator (LQI) to adjust transmission power suitably in order to maintaining a certain communication level with a reduced energy consumption. And we will divide the sampling period of a sensor node into four intervals so that the sensor node radio device does not in receiving or transmission status all the time. Hence the sensor node can adjust transmission power automatically and reduce sensor node power consumption. Experimental results show that the battery life can be extended to about 10 times for the designed sensor node comparing to a normal node.
PDF File: https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS2/OS2-4.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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