Channel Modeling and Simulation of Wireless Underground Sensor Networks Based on Magnetic Induction Technology

Authors

Zhouzhou Liu, 1.School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China; ;2.School of Electronic Engineering, Xi’an Aeronautical University, Xi’an 710077, China;;
Shen Liang, 2.School of Electronic Engineering, Xi’an Aeronautical University, Xi’an 710077, China;;

Abstract

Abstract: Aiming at the problem of high path loss, huge dynamic changes of channel conditions and large antenna size of the electromagnetic wave communication channel in wireless underground sensor networks ( WUSN), the channel characteristics of magnetic induction (MI) in the process of WUSN transmission are studied and the transmission principle of harmonic source in soil strata is analyzed. The influence of the polarization direction of the coil and the eddy current loss coefficient on the channel model is analyzed by the transmission equivalent circuit diagram, and the influence of the change of the frequency and the distance on the channel characteristics is considered. Finally the devices that are in favor of the underground transmission are selected and underground receiving and dispatching experiment is carried out. By comparing the measured results with the theoretical channel model, the theoretical model of the low frequency magnetic induction technique is consistent with the experimental results.

Recommended Citation

Liu, Zhouzhou and Liang, Shen (2019) "Channel Modeling and Simulation of Wireless Underground Sensor Networks Based on Magnetic Induction Technology," Journal of System Simulation: Vol. 30: Iss. 3, Article 42.
DOI: 10.16182/j.issn1004731x.joss.201803042
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/42

First Page

1102

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201803042

Last Page

1108

CLC

TP393

Recommended Citation

Liu Zhouzhou, Shen Liang. Channel Modeling and Simulation of Wireless Underground Sensor Networks Based on Magnetic Induction Technology[J]. Journal of System Simulation, 2018, 30(3): 1102-1108.

DOI

10.16182/j.issn1004731x.joss.201803042