The Research on Abnormal Signal Retrieval Methods for Differences Equipments under the Framework of Large-Scale Internet of Things

Abstract:

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This paper proposes an abnormal signal retrieval method for differences equipments in Internet of Things (IOT) based on Signal Fusion Technology. It elaborates on the fusion rules for communication signal of underlying devices, according to which describes the conditions need to be met when abnormal signal of the underlying devices in IOT is fused. Laplace energy and weighting algorithm are adopted to fuse abnormal signals of the underlying multi-device in IOT in order to achieve fusion detection for abnormal signal. Experimental results show that the algorithm can greatly improve the efficiency of detecting abnormal signal.

Info:

Periodical:

Advanced Materials Research (Volumes 846-847)

Edited by:

Q. Lu and C.G. Zhang

Pages:

1060-1063

DOI:

10.4028/www.scientific.net/AMR.846-847.1060

Citation:

L. T. Li "The Research on Abnormal Signal Retrieval Methods for Differences Equipments under the Framework of Large-Scale Internet of Things", Advanced Materials Research, Vols. 846-847, pp. 1060-1063, 2014

Online since:

November 2013

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$38.00

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[1] Zhang Bin, Chen Fang, Liu Jiaguang. planning and analysis of multi-objective optimization algorithm for immune system in Military communications network[J]. Defense Science and Technology, 2012. 3: 27-31.

[2] Gong Fuxiang, Wang Qing, Zhang Xiaoguo. GPS / TDOA hybrid location algorithm in Communication network [J]. Chinese Inertial Technology, 2011. 2: 209-213.

DOI: 10.1109/iccsnt.2012.6526318

[3] Wang Fubao, Shi Long, Ren Fengyuan, self-positioning system and algorithms in wireless sensor network [J]. Journal of Software, 2005. 16: 857-868.

[4] Everthon Silva Fonseca, Rodrigo Capobianco Guido, Paulo Rogério Scalassara, Carlos Dias Maciel, José Carlos Pereira. Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders[J]. Computers in Biology and Medicine, 2007, 37(4): 571-578.

DOI: 10.1016/j.compbiomed.2006.08.008

[5] P. Xie, Z. Zhou, Z. Peng, H Yan, T.S. Hu, J. -H. Cui, Z.J. Shi, Y.S. Fei and S.L. Zhou, Aqua-Sim: A NS-2 Based Simulator for Underwater Sensor Networks[C], IEEE/M TS OCEANS, 2009: 1-7.

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