DocumentCode :
149703
Title :
Energy efficient transmission strategies for distributed detection in wireless sensor networks
Author :
Daesung Hwang ; Hyoungsuk Jeon ; Jeongseok Ha ; Jinho Choi
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear :
2014
fDate :
21-24 April 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose two energy efficient ordered transmission schemes with fusion rules for distributed detection in wireless sensor networks (WSNs). The fusion rule at the fusion center (FC) has been derived to take into account not only the reliability of local decision at sensors, but also channel gains from sensors to the FC. In the first scheme, the sensors´ transmission order is based on only local log-likelihood ratio (LLR), while it is based on both the reliability of local decision and quality of transmission channels in the second scheme. Due to the ordered transmission, the target detection performance can be achieved with a small number of sensors, which leads to energy efficient distributed detection in WSNs. At the high signal-to-noise ratio (SNR) regime, the performances of both strategies converge to the best achievable one in the case that the sensors perfectly know the received signals at the FC.
Keywords :
energy conservation; telecommunication network reliability; telecommunication power management; wireless sensor networks; SNR; WSN; distributed detection; energy efficient transmission; fusion center; fusion rules; log-likelihood ratio; signal-to-noise ratio; transmission channels; wireless sensor networks; Fading; Indexes; Maximum likelihood estimation; Noise measurement; Reliability; Signal to noise ratio; Wireless sensor networks; Distributed detection; energy efficient strategy; fading channels; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-2842-2
Type :
conf
DOI :
10.1109/ISSNIP.2014.6827669
Filename :
6827669
Link To Document :
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