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Badania hybrydowego systemu śledzenia fal promieniowania 2.4GHz w sztucznym lesie
Języki publikacji
Abstrakty
Since the environment in the forest is relatively complicated and there’s a necessity to avoid the dead zone of signal diffraction when laying wireless sensor in the forest, the integration of SBR and UTD is applied to study the impact of 2.4GHz radio-frequency signal on the path loss characteristics in the forest. This paper achieved the ray location from the receive pint to field point by using back-ray tracing method and computed the response electric field relative to each ray by using UTD. Take the poplar planted forest for instance. The measured value and simulated value were compared, finding good consistency between them, which indicates that SBR and UTD can effectively predict the path loss characteristics in the forest.
W artykule przedstawiono zagadnienie rozprowadzania pola sieci bezprzewodowej w obszarze leśnym. Zastosowane rozwiązania (SBR, UTD) pozwoliły na skuteczną lokalizację i przesył informacji przy zastosowaniu fal 2.4GHz. Wyniki symulacyjne porównano z wynikami pomiarów, przeprowadzonych w lesie topolowym.
Wydawca
Czasopismo
Rocznik
Tom
Strony
152--155
Opis fizyczny
Bibliogr. 17 poz., schem., tab., wykr.
Twórcy
autor
- School of Technology, Zhejiang Agricultural & Forestry University, Lin’an, China
Bibliografia
- [1] J.H.Whltteker, Frresnel-Kirchhoff theory applied to terrain diffraction problems, Radio Sci, 25(1990),837-851.
- [2] Y.J. Xu, W.B. Li, Propagation path loss prediction model of multi-sensor network in forest. Procedia Engineering. 15 (2011),412-414.
- [3] M.G. Wang, Geometrical Theory of Diffraction, China Xidian University Press, Beijing: 1989.
- [4] X. Wen, Y.X. Xie, Diffraction over a Flat-Topped Terrain Obstacle with Bevel Edge, Chinese Journal of Electronics, 23(1995),81-83.
- [5] Y.J. Xu, W.B. Li, Strength Prediction of Propagation loss in Forest Based on Genetic-SVM Classifier, 2010 Second International Conference on Future Computer and Communication, 03(2010), 251-254.
- [6] Henry L. Bertoni, Radio propagation for modern wireless system, Publishing House of Electronics industry. Beijing: 2002.
- [7] Zhang, YB, Bian, X, Liu, Y, Qu, HM. Agglomeration Mechanism of Horizontally Integrated Multinationals under D-S Model of Limited-Number Enterprises. Applied Mathematics & Information Sciences,05(2011) ,17-23.
- [8] B.B. Baker and E.T. Copson. The Mathematical Theory of Huygens Principle,2nd ed., Qxford University Press,London(1953).
- [9] Y. S. Meng.Path loss modeling for near-ground VHF radio-wave propagation through forests with tree-canopy reflection effect. Progress In Electromagnetics Research M, 12(2010),131-141.
- [10] Sharma,Mahadev. Height-diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach. Forest Ecology and Management,249(2007),No.03,187-198.
- [11] S.S.Seker. VHF/UHF Radio Propagation Through Forests: Modeling and Experimental Observations, IEEE Proceedings-H, 139(1992),No.01,72-78.
- [12] S.S.O. Burgess,M.L. Kranz, N.E. Turner. Harnessing wireless sensor technologies to advance forest ecology and agricultural research. Agricultural and Forest Meteorology, 150(2010), No. 1,30-37.
- [13] Musaloiu-E et al., Life Under Your Feet:A Wireless Soil Ecology Sensor Network,Proc. 3rd Workshop on Embedded Networked Sensors,2006.
- [14] Pathak,P. H., Huang,J.An MM-GTD Analysis of the Radiation from Slots in Planar and Cylindrical Perfectly-Conducting Structures with a Surface Impedance Patch. Defense Technical Information Center OAI-PMH Repository (United States). Ohio state univ columbus electrosciencelab,2002.
- [15] Nicolas No´e and Fran¸cois Gaudaire. Reflection on curved surfaces in a 2.5D ray-tracing method for electromagnetic waves exposure prediction in urban areas. General Assembly and Scientific Symposium,8( 2011),13-20.
- [16] Paul R. ROUSSEAU and Prabhakar PATHAK, A Time Domain Uniform Geometrical Theory of Slope diffraction for a Curved Wedge. Turk J Elec Engin,10(2002),No.2,385-398.
- [17] Zeng Ming, Li Shulei, Liu Hongzhi, Xue Song, Li Lingyun, Demand Response Resource Value Post-Evaluation Model Based on Fuzzy-Rough Sets, Advanced Management Science, 1 (2011), No.1, 1-10
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c7ed66c4-ae3c-415a-bcbb-5ebc4b25b412