Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Research of Wave Simulation Based on Nonlinear Constraint

Authors
Bingjie Jiao
Corresponding Author
Bingjie Jiao
Available Online December 2018.
DOI
10.2991/tlicsc-18.2018.45How to use a DOI?
Keywords
SNR; optimal multi-hop path.
Abstract

Nowadays, one of the most significant signal carriers, the radio wave of high frequency propagates in multi-hop path. We establish the foundation model of Sky-wave reflection in order to study the relationship between some factors (signal intensity, SNR (Signal to Noise Ratio), etc.) and propagating distance, and solve out the optimal multi-hop path. We assume that the value of projecting power of radio wave, the distance between radio wave source and receiver and times of hop are known and we establish the basic model of the calm ocean to determine the signal intensity and SNR at the target location.

Copyright
© 2018, 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/).

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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.45How to use a DOI?
Copyright
© 2018, 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  - Bingjie Jiao
PY  - 2018/12
DA  - 2018/12
TI  - Research of Wave Simulation Based on Nonlinear Constraint
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 281
EP  - 286
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.45
DO  - 10.2991/tlicsc-18.2018.45
ID  - Jiao2018/12
ER  -